statistical models

Summary

Summary: Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Top Publications

  1. ncbi Identifying differentially expressed genes using false discovery rate controlling procedures
    Anat Reiner
    Department of Statistics and Operations Research, The Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel
    Bioinformatics 19:368-75. 2003
  2. ncbi Protein homology detection by HMM-HMM comparison
    Johannes Söding
    Department of Protein Evolution, Max Planck Institute for Developmental Biology Spemannstrasse 35, D 72076 Tubingen, Germany
    Bioinformatics 21:951-60. 2005
  3. pmc Tandem repeats finder: a program to analyze DNA sequences
    G Benson
    Department of Biomathematical Sciences, Mount Sinai School of Medicine, New York, NY 10029 6574, USA
    Nucleic Acids Res 27:573-80. 1999
  4. ncbi Genomic control for association studies
    B Devlin
    Department of Psychiatry, University of Pittsburgh, Pennsylvania 15213, USA
    Biometrics 55:997-1004. 1999
  5. pmc Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci
    Bruce Rannala
    Department of Medical Genetics, University of Alberta, Edmonton, Alberta T6G 2H7, Canada
    Genetics 164:1645-56. 2003
  6. pmc Hitchhiking under positive Darwinian selection
    J C Fay
    Committee on Genetics, University of Chicago, Chicago, Illinois 60637, USA
    Genetics 155:1405-13. 2000
  7. ncbi Assessing the accuracy of prediction algorithms for classification: an overview
    P Baldi
    Department of Information and Computer Science, University of California, Irvine, CA 92697, USA
    Bioinformatics 16:412-24. 2000
  8. ncbi Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search
    Andrew Keller
    Institute for Systems Biology, Seattle, Washington 98103, USA
    Anal Chem 74:5383-92. 2002
  9. ncbi A global test for groups of genes: testing association with a clinical outcome
    Jelle J Goeman
    Department of Medical Statistics, Leiden University Medical Center, P O Box 9604, 2300 RC Leiden, The Netherlands
    Bioinformatics 20:93-9. 2004
  10. ncbi Controlling the familywise error rate in functional neuroimaging: a comparative review
    Thomas Nichols
    Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
    Stat Methods Med Res 12:419-46. 2003

Detail Information

Publications366 found, 100 shown here

  1. ncbi Identifying differentially expressed genes using false discovery rate controlling procedures
    Anat Reiner
    Department of Statistics and Operations Research, The Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel
    Bioinformatics 19:368-75. 2003
    ..The procedures are studied using simulated microarray data, and their performance is examined relative to their ease of implementation...
  2. ncbi Protein homology detection by HMM-HMM comparison
    Johannes Söding
    Department of Protein Evolution, Max Planck Institute for Developmental Biology Spemannstrasse 35, D 72076 Tubingen, Germany
    Bioinformatics 21:951-60. 2005
    ..Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution...
  3. pmc Tandem repeats finder: a program to analyze DNA sequences
    G Benson
    Department of Biomathematical Sciences, Mount Sinai School of Medicine, New York, NY 10029 6574, USA
    Nucleic Acids Res 27:573-80. 1999
    ..These sequences range in size from 3 kb up to 700 kb. A World Wide Web server interface atc3.biomath.mssm.edu/trf.html has been established for automated use of the program...
  4. ncbi Genomic control for association studies
    B Devlin
    Department of Psychiatry, University of Pittsburgh, Pennsylvania 15213, USA
    Biometrics 55:997-1004. 1999
    ..The performance of our genomic control method is quite good for plausible effects of liability genes, which bodes well for future genetic analyses of complex disorders...
  5. pmc Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci
    Bruce Rannala
    Department of Medical Genetics, University of Alberta, Edmonton, Alberta T6G 2H7, Canada
    Genetics 164:1645-56. 2003
    ..Our estimates, however, are affected by model assumptions as well as data quality. We suggest that reliable estimates have yet to await more data and more realistic models...
  6. pmc Hitchhiking under positive Darwinian selection
    J C Fay
    Committee on Genetics, University of Chicago, Chicago, Illinois 60637, USA
    Genetics 155:1405-13. 2000
    ..Application of the H test to published surveys of Drosophila variation reveals an excess of high frequency variants that are likely to have been influenced by positive selection...
  7. ncbi Assessing the accuracy of prediction algorithms for classification: an overview
    P Baldi
    Department of Information and Computer Science, University of California, Irvine, CA 92697, USA
    Bioinformatics 16:412-24. 2000
    ..While the principles are general, we illustrate the applicability on specific problems such as protein secondary structure and signal peptide prediction...
  8. ncbi Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search
    Andrew Keller
    Institute for Systems Biology, Seattle, Washington 98103, USA
    Anal Chem 74:5383-92. 2002
    ..This analysis makes it possible to filter large volumes of MS/MS database search results with predictable false identification error rates and can serve as a common standard by which the results of different research groups are compared...
  9. ncbi A global test for groups of genes: testing association with a clinical outcome
    Jelle J Goeman
    Department of Medical Statistics, Leiden University Medical Center, P O Box 9604, 2300 RC Leiden, The Netherlands
    Bioinformatics 20:93-9. 2004
    ..Groups of genes may be any size from a single gene to all genes on the chip (e.g. known pathways, specific areas of the genome or clusters from a cluster analysis)...
  10. ncbi Controlling the familywise error rate in functional neuroimaging: a comparative review
    Thomas Nichols
    Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
    Stat Methods Med Res 12:419-46. 2003
    ..We also show the limitations of trying to find an equivalent number of independent tests for an image of correlated test statistics...
  11. ncbi Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative
    Maria Anisimova
    Equipe Méthodes et Algorithmes pour la Bioinformatique LIRMM CNRS, Universite Montpellier II, Montpellier 34392, France
    Syst Biol 55:539-52. 2006
    ..The aLRT is implemented within the algorithm used by the recent fast maximum likelihood tree estimation program PHYML (Guindon and Gascuel, 2003)...
  12. ncbi A gene-coexpression network for global discovery of conserved genetic modules
    Joshua M Stuart
    Stanford Medical Informatics, 251 Campus Drive, Medical School Office Building X 215, Stanford, CA 94305 5329, USA
    Science 302:249-55. 2003
    ..By assembling these links into a gene-coexpression network, we found several components that were animal-specific as well as interrelationships between newly evolved and ancient modules...
  13. ncbi Prediction error estimation: a comparison of resampling methods
    Annette M Molinaro
    Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD 20852, USA
    Bioinformatics 21:3301-7. 2005
    ..With a focus on prediction assessment, we compare several methods for estimating the 'true' prediction error of a prediction model in the presence of feature selection...
  14. pmc A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase
    Paul Scheet
    Department of Statistics, University of Washington, Seattle, 98195 4322, USA
    Am J Hum Genet 78:629-44. 2006
    ..The methods described in this article are implemented in a software package, fastPHASE, which is available from the Stephens Lab Web site...
  15. ncbi Variance stabilization applied to microarray data calibration and to the quantification of differential expression
    Wolfgang Huber
    Department of Molecular Genome Analysis, German Cancer Research Center, INF 280, Heidelberg, 69120, Germany
    Bioinformatics 18:S96-104. 2002
    ..We demonstrate our approach on data sets from different experimental platforms, including two-colour cDNA arrays and a series of Affymetrix oligonucleotide arrays...
  16. pmc Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
    Mario Stanke
    lnstitut für Mikrobiologie und Genetik, Universitat Gottingen, Gottingen, Germany
    BMC Bioinformatics 7:62. 2006
    ..Therefore extrinsic evidence is most valuable when it is balanced with sequence-intrinsic evidence...
  17. ncbi Alignment-free sequence comparison-a review
    Susana Vinga
    Department of Biometry and Epidemiology, Medical University of South Carolina, 135 Cannon Street, Suite 303, PO Box 250835, Charleston, SC 29425, USA
    Bioinformatics 19:513-23. 2003
    ..The formulation of alternative metrics for dissimilarity between sequences and their algorithmic implementations are reviewed...
  18. pmc Transmission dynamics and control of severe acute respiratory syndrome
    Marc Lipsitch
    Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
    Science 300:1966-70. 2003
    ..Public-health efforts to reduce transmission are expected to have a substantial impact on reducing the size of the epidemic...
  19. ncbi Tutorial in biostatistics: competing risks and multi-state models
    H Putter
    Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
    Stat Med 26:2389-430. 2007
    ..Examples of analysis with standard software are shown...
  20. ncbi Improved scoring of functional groups from gene expression data by decorrelating GO graph structure
    Adrian Alexa
    Max Planck Institute for Informatics Stuhlsatzenhausweg 85, D 66123 Saarbrucken, Germany
    Bioinformatics 22:1600-7. 2006
    ..g. based on Gene Ontology (GO). We develop methods that increase the explanatory power of this approach by integrating knowledge about relationships between the GO terms into the calculation of the statistical significance...
  21. pmc Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009
    Hiroshi Nishiura
    PRESTO, Japan Science and Technology Agency, Honcho 4 1 8, Kawaguchi, Saitama, 332 0012, Japan
    Theor Biol Med Model 7:1. 2010
    ..The growth rate at the initial stage of the epidemic in Japan led to estimates for R in the range 2.0 to 2.6, capturing the intensity of the initial outbreak among school-age children in May 2009...
  22. ncbi Synchrony, waves, and spatial hierarchies in the spread of influenza
    Cecile Viboud
    Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
    Science 312:447-51. 2006
    ..A simple epidemiological model, based on the gravity formulation, captures the observed increase of influenza spatial synchrony with transmissibility; high transmission allows influenza to spread rapidly beyond local spatial constraints...
  23. ncbi An approximately unbiased test of phylogenetic tree selection
    Hidetoshi Shimodaira
    Institute of Statistical Mathematics, 4 6 7 Minami Azabu, Minatoku, Tokyo 106 8569, Japan
    Syst Biol 51:492-508. 2002
    ..A practical suggestion is provided as to which test should be used under particular circumstances...
  24. pmc Seasonal influenza in the United States, France, and Australia: transmission and prospects for control
    G Chowell
    Theoretical Division MS B284, Los Alamos National Laboratory, Los Alamos, NM 87544, USA
    Epidemiol Infect 136:852-64. 2008
    ..61, P60%) in healthy individuals who respond well to vaccine, in addition to periodic re-vaccination due to evolving viral antigens and waning population immunity...
  25. ncbi Mortality associated with influenza and respiratory syncytial virus in the United States
    William W Thompson
    Influenza Branch, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
    JAMA 289:179-86. 2003
    ..Influenza and respiratory syncytial virus (RSV) cause substantial morbidity and mortality. Statistical methods used to estimate deaths in the United States attributable to influenza have not accounted for RSV circulation...
  26. pmc Bias in random forest variable importance measures: illustrations, sources and a solution
    Carolin Strobl
    Institut für Statistik, Ludwig Maximilians Universitat Munchen, Ludwigstr, 33, 80539 Munchen, Germany
    BMC Bioinformatics 8:25. 2007
    ....
  27. pmc Models of epidemics: when contact repetition and clustering should be included
    Timo Smieszek
    Institute for Environmental Decisions, Natural and Social Science Interface, ETH Zurich, Universitaetsstrasse 22, 8092 Zurich, Switzerland
    Theor Biol Med Model 6:11. 2009
    ..However, we do not yet completely know under what conditions repetitiveness and clustering should be included for realistically modelling disease spread...
  28. pmc Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
    Tina Toni
    Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, London SW7 2AZ, UK
    J R Soc Interface 6:187-202. 2009
    ..Moreover, we develop ABC SMC as a tool for model selection; given a range of different mathematical descriptions, ABC SMC is able to choose the best model using the standard Bayesian model selection apparatus...
  29. ncbi Adjustment of systematic microarray data biases
    Monica Benito
    Department of Statistics and Econometrics, University of Carlos III, Madrid, Spain
    Bioinformatics 20:105-14. 2004
    ..These systematic effects present a substantial hurdle to the analysis of microarray data...
  30. ncbi A comparison of Bayesian spatial models for disease mapping
    Nicky Best
    Small Area Health Statistics Unit, Department of Epidemiology and Public Health, Imperial College Faculty of Medicine, Norfolk Place, London W2 1PG, UK
    Stat Methods Med Res 14:35-59. 2005
    ..The aim is to help the reader choose an appropriate structural prior for the second level of the hierarchical model and to discuss issues of sensitivity to this choice...
  31. ncbi Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions
    Yujin Chung
    Department of Statistics, Seoul National University San 56 1 Shillim Dong, Kwanak gu, Seoul 151 747, Korea
    Bioinformatics 23:71-6. 2007
    ..Hence, we propose the odds ratio based multifactor dimensionality reduction (OR MDR) method that uses the odds ratio as a new quantitative measure of disease risk...
  32. ncbi Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
    P van den Driessche
    Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada V8W 3P4
    Math Biosci 180:29-48. 2002
    ..The results are significant for disease control...
  33. pmc Identification and classification of hubs in brain networks
    Olaf Sporns
    Department of Psychological and Brain Sciences and Program in Cognitive Science, Indiana University, Bloomington, Indiana, United States of America
    PLoS ONE 2:e1049. 2007
    ....
  34. ncbi The origin of bursts and heavy tails in human dynamics
    Albert Laszlo Barabasi
    Center for Complex Networks Research and Department of Physics, University of Notre Dame, Indiana 46556, USA
    Nature 435:207-11. 2005
    ..In contrast, random or priority blind execution is well approximated by uniform inter-event statistics. These finding have important implications, ranging from resource management to service allocation, in both communications and retail...
  35. pmc Refining a probabilistic model for interpreting verbal autopsy data
    Peter Byass
    Umeå International School of Public Health, Umea University, Umea, Sweden
    Scand J Public Health 34:26-31. 2006
    ..To build on the previously reported development of a Bayesian probabilistic model for interpreting verbal autopsy (VA) data, attempting to improve the model's performance in determining cause of death and to reassess it...
  36. ncbi The influence of sampling effort and the performance of the Kato-Katz technique in diagnosing Schistosoma mansoni and hookworm co-infections in rural Côte d'Ivoire
    M Booth
    Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP, UK
    Parasitology 127:525-31. 2003
    ..If confirmed in other settings, these findings have implications for estimating the prevalence of multiple species helminth infections, and hence the design and implementation of efficacious and cost-effective control programmes...
  37. ncbi Effect of screening and adjuvant therapy on mortality from breast cancer
    Donald A Berry
    Department of Biostatistics and Applied Mathematics, M D Anderson Cancer Center, Houston, TX 77030, USA
    N Engl J Med 353:1784-92. 2005
    ..We used modeling techniques to assess the relative and absolute contributions of screening mammography and adjuvant treatment to the reduction in breast-cancer mortality in the United States from 1975 to 2000...
  38. pmc Sequential Monte Carlo without likelihoods
    S A Sisson
    School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia
    Proc Natl Acad Sci U S A 104:1760-5. 2007
    ..Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis...
  39. ncbi Move over ANOVA: progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry
    Ralitza Gueorguieva
    Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut, USA
    Arch Gen Psychiatry 61:310-7. 2004
    ..More sophisticated mixed-effects models provide flexibility, and recently developed software makes them available to researchers...
  40. ncbi A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
    Peter C Austin
    Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
    Stat Med 26:734-53. 2007
    ..Finally, the mean squared error for estimating a null treatment effect was lower when either of the first two propensity scores was used compared to when either of the last two propensity score models was used...
  41. pmc Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
    Duygu Balcan
    Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, IN, USA
    BMC Med 7:45. 2009
    ....
  42. ncbi Containing pandemic influenza at the source
    Ira M Longini
    Department of Biostatistics, The Rollins School of Public Health, Emory University, 1518 Clifton Road, N E, Atlanta, GA 30322, USA
    Science 309:1083-7. 2005
    ..1. Combinations of targeted antiviral prophylaxis, pre-vaccination, and quarantine could contain strains with an R(0) as high as 2.4...
  43. ncbi Statistical models and patient predictors of readmission for heart failure: a systematic review
    Joseph S Ross
    Department of Geriatrics and Adult Development, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1070, New York, NY 10029, USA
    Arch Intern Med 168:1371-86. 2008
    ..after heart failure (HF) hospitalization is an increasing focus for physicians and policy makers, but statistical models are needed to assess patient risk and to compare hospital performance...
  44. ncbi Pollen flow in the wildservice tree, Sorbus torminalis (L.) Crantz. II. Pollen dispersal and heterogeneity in mating success inferred from parent-offspring analysis
    Sylvie Oddou-Muratorio
    Conservatoire Génétique des Arbres Forestiers, Office National des Forêts, Campus INRA, F 45160 Ardon, France
    Mol Ecol 14:4441-52. 2005
    ..Our study thus stresses the interest to account for the dispersal kernel when estimating heterogeneity in male fecundity, and reciprocally...
  45. ncbi Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents
    Jacco Wallinga
    National Institute for Public Health and the Environment, Bilthoven, The Netherlands
    Am J Epidemiol 164:936-44. 2006
    ..These findings have important implications for controlling future outbreaks of novel respiratory-spread infectious agents...
  46. ncbi Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets
    E W Steyerberg
    Center for Clinical Decision Sciences, Department of Public Health, Erasmus University, Rotterdam, The Netherlands
    Stat Med 19:1059-79. 2000
    ..We therefore recommend shrinkage methods in full models including prespecified predictors and incorporation of external information, when prognostic models are constructed in small data sets...
  47. pmc Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms
    Hailay D Teklehaimanot
    Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
    Malar J 3:41. 2004
    ..The impact of temperature on the duration of a mosquito's life cycle and the sporogonic phase of the parasite could explain the inconsistent findings...
  48. pmc ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context
    Adam A Margolin
    Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA
    BMC Bioinformatics 7:S7. 2006
    ..This method uses an information theoretic approach to eliminate the majority of indirect interactions inferred by co-expression methods...
  49. ncbi A breast cancer prediction model incorporating familial and personal risk factors
    Jonathan Tyrer
    Department of Epidemiology, Mathematics and Statistics, Cancer Research UK
    Stat Med 23:1111-30. 2004
    ..This risk was further refined based on the woman's personal history. The model has been incorporated into a computer program that gives a personalised risk estimate...
  50. pmc Multiple interval mapping for quantitative trait loci
    C H Kao
    Institute of Statistical Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China
    Genetics 152:1203-16. 1999
    ..The MIM FORTRAN program is available on the worldwide web (http://www.stat.sinica.edu.tw/chkao/)...
  51. ncbi Applications of structural equation modeling in psychological research
    R C MacCallum
    Ohio State University, Department of Psychology, Columbus 43210 1222, USA
    Annu Rev Psychol 51:201-26. 2000
    ....
  52. pmc Singular value decomposition for genome-wide expression data processing and modeling
    O Alter
    Departments of Genetics and Biochemistry, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 97:10101-6. 2000
    ....
  53. pmc QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data
    Stefano Colella
    Genomics Laboratory, Wellcome Trust Centre for Human Genetics, Oxford, UK
    Nucleic Acids Res 35:2013-25. 2007
    ..In conclusion, QuantiSNP is a novel algorithm for high-resolution CNV/aneuploidy detection with application to clinical genetics, cancer and disease association studies...
  54. pmc The probability of preservation of a newly arisen gene duplicate
    M Lynch
    Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
    Genetics 159:1789-804. 2001
    ..Tight linkage also influences the probability of duplicate-gene preservation, increasing the probability of subfunctionalization but decreasing the probability of neofunctionalization...
  55. ncbi Differential expression in SAGE: accounting for normal between-library variation
    Keith A Baggerly
    Department of Biostatistics, UT M D Anderson Cancer Center, 1515 Holcombe Blvd, Box 447, Houston, TX 77030 4009, USA
    Bioinformatics 19:1477-83. 2003
    ..The effect is not slight: between-library variation can be hundreds of times the within-library variation...
  56. ncbi A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments
    Wei Pan
    Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo, MMC 303, 420 Delaware Street SE, Minneapolis, MN 55455 0378, USA
    Bioinformatics 18:546-54. 2002
    ..Genome Res., 11, 1227-1236, 2001) and a mixture model approach (Pan et al., http://www.biostat.umn.edu/cgi-bin/rrs?print+2001,2001a,b) with particular attention to their different modeling assumptions...
  57. ncbi Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention
    B Rockhill
    B Rockhill, C Byrne, Channing Laboratory, Harvard Medical School and Brigham and Women s Hospital, Boston, MA 02115, USA
    J Natl Cancer Inst 93:358-66. 2001
    Women and their clinicians are increasingly encouraged to use risk estimates derived from statistical models, primarily that of Gail et al...
  58. ncbi Epidemiology of seasonal influenza: use of surveillance data and statistical models to estimate the burden of disease
    William W Thompson
    Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
    J Infect Dis 194:S82-91. 2006
    ..data from these programs, together with national hospitalization and mortality data, have been used in statistical models to estimate the annual burden of disease associated with influenza in the United States for many years...
  59. pmc Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection
    C Li
    Departments of Statistics and Human Genetics, University of California, Los Angeles, CA 90095
    Proc Natl Acad Sci U S A 98:31-6. 2001
    ..We also present model-based methods for identifying and handling cross-hybridizing probes and contaminating array regions. Applications of these results will be presented elsewhere...
  60. ncbi Mathematical modeling of the impact of malaria vaccines on the clinical epidemiology and natural history of Plasmodium falciparum malaria: Overview
    Thomas Smith
    Swiss Tropical Institute, Basel, Switzerland
    Am J Trop Med Hyg 75:1-10. 2006
    ..This paper outlines for a non-mathematical audience the approach we have taken and its underlying rationale...
  61. pmc The role of microRNA genes in papillary thyroid carcinoma
    Huiling He
    Human Cancer Genetics Program, Department of Pathology, Ohio State University, Columbus, OH 43210, USA
    Proc Natl Acad Sci U S A 102:19075-80. 2005
    ..We conclude that up-regulation of several miRs and regulation of KIT are involved in PTC pathogenesis, and that sequence changes in genes targeted by miRNAs can contribute to their regulation...
  62. pmc Modeling the probability distribution of positional errors incurred by residential address geocoding
    Dale L Zimmerman
    Department of Statistics and Actuarial Science and Center for Health Policy and Research, University of Iowa, Iowa City, IA 52242, USA
    Int J Health Geogr 6:1. 2007
    ..Unfortunately, this process results in positional errors. Our study sought to model the probability distribution of positional errors associated with automated geocoding and E911 geocoding...
  63. ncbi Evidence that microRNA precursors, unlike other non-coding RNAs, have lower folding free energies than random sequences
    Eric Bonnet
    Department of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology VIB, Ghent University, Technologiepark 927, B 9052 Ghent, Belgium
    Bioinformatics 20:2911-7. 2004
    ..Statistical biases are assessed by a randomization test, in which the predicted minimum free energy of folding is compared with values obtained for structures inferred from randomly shuffling the original sequences...
  64. ncbi Estimating absolute rates of molecular evolution and divergence times: a penalized likelihood approach
    Michael J Sanderson
    Section of Evolution and Ecology, University of California, One Shields Avenue, Davis, CA 95616, USA
    Mol Biol Evol 19:101-9. 2002
    ..The methods are applied to three data sets of six genes across a sample of land plants. Optimally smoothed estimates of absolute rates entailed 2- to 10-fold variation across lineages...
  65. ncbi A model for natural immunity to asexual blood stages of Plasmodium falciparum malaria in endemic areas
    Nicolas Maire
    Swiss Tropical Institute, Basel, Switzerland
    Am J Trop Med Hyg 75:19-31. 2006
    ..falciparum...
  66. pmc Sparse inverse covariance estimation with the graphical lasso
    Jerome Friedman
    Department of Statistics, Stanford University, CA 94305, USA
    Biostatistics 9:432-41. 2008
    ..It also provides a conceptual link between the exact problem and the approximation suggested by Meinshausen and Bühlmann (2006). We illustrate the method on some cell-signaling data from proteomics...
  67. ncbi Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
    Eran Segal
    Computer Science Department, Stanford University, Stanford, California, 94305, USA
    Nat Genet 34:166-76. 2003
    ..We present microarray experiments supporting three novel predictions, suggesting regulatory roles for previously uncharacterized proteins...
  68. ncbi A Bayesian approach to reconstructing genetic regulatory networks with hidden factors
    Matthew J Beal
    Department of Computer Science and Engineering, State University of New York at Buffalo, 201 Bell Hall, Buffalo, NY 14260 2000, USA
    Bioinformatics 21:349-56. 2005
    ....
  69. ncbi Comparative model-based analysis of screening programs for Chlamydia trachomatis infections
    M Kretzschmar
    Department of Infectious Disease Epidemiology, National Institute of Public Health and the Environment RIVM, Bilthoven, The Netherlands
    Am J Epidemiol 153:90-101. 2001
    ..Partner referral contributes substantially to prevalence reduction...
  70. pmc Finding scientific topics
    Thomas L Griffiths
    Department of Psychology, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 101:5228-35. 2004
    ....
  71. ncbi Use of within-array replicate spots for assessing differential expression in microarray experiments
    Gordon K Smyth
    Walter and Eliza Hall Institute of Medical Research, Melbourne, Vic, Australia
    Bioinformatics 21:2067-75. 2005
    ..The usual practice is to average the duplicate or triplicate results for each probe before assessing differential expression. This results in the loss of valuable information about genewise variability...
  72. pmc Fast pairwise structural RNA alignments by pruning of the dynamical programming matrix
    Jakob H Havgaard
    Division of Genetics and Bioinformatics, University of Copenhagen, Frederiksberg, Denmark
    PLoS Comput Biol 3:1896-908. 2007
    ..The software package is available for download at http://foldalign.ku.dk...
  73. pmc A unified model for functional and statistical epistasis and its application in quantitative trait Loci analysis
    José M Alvarez-Castro
    Linnaeus Centre for Bioinformatics, Uppsala University, SE 75124 Uppsala, Sweden
    Genetics 176:1151-67. 2007
    ..Currently, two independent classes of models are used to study epistasis. Statistical models focus on maintaining desired statistical properties for detection and estimation of genetic effects and for ..
  74. ncbi Efficient multilocus association testing for whole genome association studies using localized haplotype clustering
    Brian L Browning
    Department of Statistics, The University of Auckland, Auckland, New Zealand
    Genet Epidemiol 31:365-75. 2007
    ....
  75. pmc Seasonality in six enterically transmitted diseases and ambient temperature
    E N Naumova
    Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
    Epidemiol Infect 135:281-92. 2007
    ..This highly relevant to disease surveillance approach can be used to generate and test hypotheses related to disease seasonality and potential routes of transmission with respect to environmental factors...
  76. ncbi Linkage disequilibrium for different scales and applications
    Jakob C Mueller
    National Centre for Genetic Epidemiological Methods, Institute for Human Genetics, GSF National Research Institute for Environment and Health, 85764 Neuherberg, Germany
    Brief Bioinform 5:355-64. 2004
    ..This review aims to explain basic LD measures and their application properties...
  77. pmc PAGE: parametric analysis of gene set enrichment
    Seon Young Kim
    Molecular Virology Division, St Luke s Roosevelt Hospital Center, Columbia University, New York, NY 10019, USA
    BMC Bioinformatics 6:144. 2005
    ..GSEA is especially useful when gene expression changes in a given microarray data set is minimal or moderate...
  78. pmc Gene selection and classification of microarray data using random forest
    Ramon Diaz-Uriarte
    Bioinformatics Unit, Biotechnology Programme, Spanish National Cancer Centre CNIO, Melchor Fernandez Almagro 3, Madrid, 28029, Spain
    BMC Bioinformatics 7:3. 2006
    ..Thus, it is important to understand the performance of random forest with microarray data and its possible use for gene selection...
  79. ncbi Between-group analysis of microarray data
    Aedin C Culhane
    Department of Biochemistry, University College Cork, Cork, Ireland
    Bioinformatics 18:1600-8. 2002
    ..As such, it can be viewed as a method of carrying out COA with grouped data...
  80. ncbi The global spread of malaria in a future, warmer world
    D J Rogers
    Trypanosomiasis and Land Use in Africa Research Group, Oxford Tick Research Group, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
    Science 289:1763-6. 2000
    ..These results were applied to future climate scenarios to predict future distributions, which showed remarkably few changes, even under the most extreme scenarios...
  81. ncbi Age, sex, density, winter weather, and population crashes in Soay sheep
    T Coulson
    Institute of Zoology, Zoological Society of London, Regent s Park, London NW1 4RY, UK
    Science 292:1528-31. 2001
    ..In addition, the strength of density-dependent processes is a function of the distribution of weather events. Incorporating demographic heterogeneities into population models can influence dynamics and their response to climate change...
  82. ncbi A simple correction for multiple comparisons in interval mapping genome scans
    J M Cheverud
    Department of Anatomy and Neurobiology, Washington University School of Medicine, 660 S Euclid Ave, St Louis, MO, 63110, USA
    Heredity (Edinb) 87:52-8. 2001
    ..The method introduced here provides a relatively simple correction for multiple comparisons that can be easily calculated using standard statistics packages...
  83. ncbi TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders
    W H Majoros
    Bioinformatics Department, The Institute for Genomic Research, Rockville, MD 20850, USA
    Bioinformatics 20:2878-9. 2004
    ..Both programs have been used at TIGR for the annotation of the Aspergillus fumigatus and Toxoplasma gondii genomes...
  84. ncbi Discovery of meaningful associations in genomic data using partial correlation coefficients
    Alberto de la Fuente
    Virginia Polytechnic Institute and State University, Virginia Bioinformatics Institute, 1880 Pratt Drive, Blacksburg 24061, USA
    Bioinformatics 20:3565-74. 2004
    ..This approach enables a distinction between direct and indirect interactions of biochemical compounds, thereby inferring the underlying network topology...
  85. ncbi A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
    Peter C Austin
    Institute for Clinical Evaluative Sciences, Toronto, Ont, Canada
    Stat Med 27:2037-49. 2008
    ..We provide guidelines for the analysis and reporting of studies that employ propensity-score matching...
  86. ncbi A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations
    C M Rutter
    Group Health Cooperative, Center for Health Studies, 1730 Minor Avenue, Suite 1600, Seattle, WA 98101, USA
    Stat Med 20:2865-84. 2001
    ..We demonstrate the advantages of this modelling approach using a recently published meta-analysis comparing three tests used to detect nodal metastasis of cervical cancer...
  87. pmc Comparison of tests for spatial heterogeneity on data with global clustering patterns and outliers
    Monica C Jackson
    Department of Mathematics and Statistics, American University, Washington, DC 20016, USA
    Int J Health Geogr 8:55. 2009
    ..However, the performance of these methods on two extreme cases (global clustering evaluation and local anomaly (outlier) detection) has not been thoroughly investigated...
  88. pmc The traveling-wave approach to asexual evolution: Muller's ratchet and speed of adaptation
    Igor M Rouzine
    Department of Molecular Biology and Microbiology, Tufts University, 136 Harrison Avenue, Boston, MA 02111, USA
    Theor Popul Biol 73:24-46. 2008
    ..We predict the adaptation rate to grow logarithmically in the population size until the population size is extremely large...
  89. ncbi The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper?
    Alan Tennant
    University of Leeds, Leeds, UK
    Arthritis Rheum 57:1358-62. 2007
  90. pmc Performance of common genetic variants in breast-cancer risk models
    Sholom Wacholder
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Blvd, EPS 5050, MSC 7244, Bethesda, MD 20892, USA
    N Engl J Med 362:986-93. 2010
    ..Genomewide association studies have identified multiple genetic variants associated with breast cancer. The extent to which these variants add to existing risk-assessment models is unknown...
  91. ncbi Fast identification and statistical evaluation of segmental homologies in comparative maps
    Peter P Calabrese
    Department of Mathematics, University of Southern California, Los Angeles, CA 90089, USA
    Bioinformatics 19:i74-80. 2003
    ..However, identification and statistical evaluation of segmental homologies can be a challenge when the segments are highly diverged...
  92. ncbi Regularized ROC method for disease classification and biomarker selection with microarray data
    Shuangge Ma
    Department of Biostatistics, University of Washington, Washington, USA
    Bioinformatics 21:4356-62. 2005
    ..However, due to computational difficulties, the ROC-based classification has not been used with microarray data. Moreover, the standard ROC technique does not incorporate built-in biomarker selection...
  93. ncbi Disentangling contextual effects on cause-specific mortality in a longitudinal 23-year follow-up study: impact of population density or socioeconomic environment?
    Basile Chaix
    Community Medicine and Public Health, Department of Clinical Sciences in Malmo, Malmo University Hospital, Faculty of Medicine, Lund University, Malmo, Sweden
    Int J Epidemiol 35:633-43. 2006
    ..Almost no studies have attempted to disentangle effects of population density and socioeconomic environment on mortality, beyond the effects of individual characteristics...
  94. ncbi Statistical methods for testing functional divergence after gene duplication
    X Gu
    Department of Zoology Genetics, Iowa Computational Molecular Biology Laboratory, Iowa State University, Ames 50011, USA
    Mol Biol Evol 16:1664-74. 1999
    ....
  95. pmc Finding haplotype block boundaries by using the minimum-description-length principle
    Eric C Anderson
    Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA
    Am J Hum Genet 73:336-54. 2003
    ..than do other methods. These results suggest that our method may be useful for designing association-based mapping studies that exploit haplotype blocks...
  96. ncbi Robust estimators for expression analysis
    Earl Hubbell
    Affymetrix, 3380 Central Expressway, Santa Clara, CA 95051, USA
    Bioinformatics 18:1585-92. 2002
    ..Such estimates should linearly track concentration, yield non-negative results, have statistical guarantees of robustness against outliers, and allow estimates of significance and variance...
  97. ncbi Morphological intergration between development compartments in the Drosophila wing
    C P Klingenberg
    Department of Zoology, Duke University, Durham, North Carolina 27708 0325, USA
    Evolution 54:1273-85. 2000
    ..In contrast, much less of the shape variation in our sample can be attributed to the localized processes that establish the identity of particular wing veins...
  98. pmc Clustering cancer gene expression data: a comparative study
    Marcilio C P De Souto
    Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    BMC Bioinformatics 9:497. 2008
    ..There have been no studies thus far performing a large-scale evaluation of different clustering methods in this context...
  99. pmc Forecast and control of epidemics in a globalized world
    L Hufnagel
    Max Planck Institut für Strömungsforschung, Bunsenstrasse 10, 37073 Gottingen, Germany
    Proc Natl Acad Sci U S A 101:15124-9. 2004
    ..The performance of different control strategies is analyzed, and our simulations show that a quick and focused reaction is essential to inhibiting the global spread of epidemics...
  100. ncbi Multiattribute and single-attribute utility functions for the health utilities index mark 3 system
    David Feeny
    Institute of Health Economics Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
    Med Care 40:113-28. 2002
    ..HUI3 consists of eight attributes (or dimensions) of health status: vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain with 5 or 6 levels per attribute, varying from highly impaired to normal...
  101. pmc Informative missingness in genetic association studies: case-parent designs
    Andrew S Allen
    Department of Biostatistics and Bioinformatics and Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
    Am J Hum Genet 72:671-80. 2003
    ....

Research Grants80

  1. Software for Survival Analysis Using Structural Models
    David Henderson; Fiscal Year: 2007
    ..Standard statistical models for survival analysis (e.g...
  2. Statistical Innovations in Health Services Research
    Joseph Gardiner; Fiscal Year: 2009
    ..Specifically, we develop and test several statistical models to analyze measures of utilization (eg, length of stay, cost) and health outcomes (eg, survival, quality of ..
  3. Genome-wide measurement of bacterial transcriptional regulatory states
    Peter L Freddolino; Fiscal Year: 2013
    ..These applications of IPODHR will form the backbone of an R01 proposal to be prepared during the late stages of the independent R00 phase. ..
  4. Predicting persistent Organ Failure early in Acute Pancreatitis
    Georgios I Papachristou; Fiscal Year: 2013
    ..We now seek to use the 5-biomarker panel data to fit diverse statistical models and rank their ability to predict risk of persistent organ failure through cross- validation...
  5. Cardiovascular Health: Effects of the Social and Physical Environment
    Shakira Franco Suglia; Fiscal Year: 2013
    ..development plan is outlined to gain practical skills in research design and implementation, expertise in statistical models to predict air pollutant levels and structural equation models as well as knowledge in the mechanisms of ..
  6. Functional and Lymphocytic Markers of Respiratory Morbidity in Hyperoxic Preemies
    RITA MARIE RYAN; Fiscal Year: 2013
    ..The future of many vulnerable children depends on this pioneering approach to the Prematurity and Respiratory Outcomes Program, PROP. ..
  7. GENETIC & ENVIRONMENTAL RISK FACTORS FOR BLADDER CANCER
    Malcolm Pike; Fiscal Year: 2009
    ..The ultimate goal of this research is to assess individual bladder cancer risk for the purpose of preventive interventions. ..
  8. Statistical models to investigate long-distance QTL transcription regulation
    BARBARA ELIZABETH ENGELHARDT; Fiscal Year: 2011
    ..We will build these networks using Bayesian statistical models to compute the probability of a particular network with respect to each gene in the network jointly, with ..
  9. Adherence intervention to promote optimal use of insulin pumps in adolescents wit
    Kimberly Driscoll; Fiscal Year: 2013
    ..Daniel McGee, an expert in sophisticated measurement and statistical models and longitudinal data analysis...
  10. Mapping Expression Quantitative Trait Loci with Next Generation Sequencing in SLE
    Min Chen; Fiscal Year: 2013
    ..2) Aim 2: To develop statistical models to map isoform-specific eQTLs targeting common alleles...
  11. The Association of Chronic Exposure to Particulate Matter Air Pollutants, Inflamm
    RODRIGO XAVIER ARMIJOS; Fiscal Year: 2013
    ..These data will be used to adjust for measurement error in the PM exposure models. The multivariate statistical models will also consider the contributions of pollutant gases, weather conditions, and other potential covariates...
  12. Immunotoxicity in Humans with Lifetime Exposure to Ocean Pullutants
    PHILIPPE ADAM GRANDJEAN; Fiscal Year: 2013
    ..Advanced statistical models will be used to determine the relative contributions by PFCs and other ocean pollutants at different ..
  13. The Biodemographic Determinants of Life Span
    James R Carey; Fiscal Year: 2010
    ..New statistical models for estimation of survival and age structure in the wild will also be developed on this project...
  14. Improved Source Localization for Pediatric Epilepsy
    Damon Hyde; Fiscal Year: 2013
    ..2) Develop statistical models for data fusion within the EEG source localization problem...
  15. Genetics of Alcohol Sensitivity in Drosophila
    Trudy F Mackay; Fiscal Year: 2013
    ..in the 192 DGRP lines to identify polymorphisms associated with alcohol sensitivity and tolerance, use novel statistical models that combine GWA analyses and multiple regressions to generate genotype-phenotype predictions, and validate ..
  16. Biomechanics of Blood Stream Infections
    John G Younger; Fiscal Year: 2012
    ..linear and nonlinear viscoelastic properties of biofilm debris and to use advanced image processing and statistical models to evaluate intra- debris heterogeneity...
  17. METABOLITE BIOIMARKERS IN THE DEVELOPMENT OF ESOPHAGEAL ADENOCARCINOMA
    Thomas L Vaughan; Fiscal Year: 2013
    ..Based on validated candidate markers identified, statistical models for sample classification (BE-GERD and HGD/EA-BE) will be constructed using partial least-squares ..
  18. Statistical models to investigate long-distance QTL transcription regulation
    BARBARA ELIZABETH ENGELHARDT; Fiscal Year: 2013
    ..We will build these networks using Bayesian statistical models to compute the probability of a particular network with respect to each gene in the network jointly, with ..
  19. ROLE OF COMPLEMENT RECEPTOR 1 IN ERYTHROCYTE INVASION BY PLASMODIUM FALCIPARUM IN
    GORDON AKANZUWINE AWANDARE; Fiscal Year: 2013
    ....
  20. Social, Genetic Determinants of Blood Pressure in Underserved African Americans
    SANDRA MARIE COULON; Fiscal Year: 2013
    ..study aims and hypotheses, with relevant covariates such as BP medication status, age, and sex included in statistical models. Potential clustering by community will be controlled by examining intra-class correlation coefficients...
  21. Obstructive Sleep Apnea, Gender Biology, and Autonomic Regulation
    PAUL MICHAEL MACEY; Fiscal Year: 2013
    ..with the aim of balancing the numbers of pre- and post-menopausal women, and including hormonal factors in statistical models. In males and females, the findings will show whether disrupted neural regulation of sympathetic activity ..
  22. National Trends in Brain Health: a Follow-Up Study of CIND and Dementia in the US
    David R Weir; Fiscal Year: 2010
    ....
  23. Environmental Attributes and Weight Control: Study of Over 1.3 Million Veterans
    Shannon N Zenk; Fiscal Year: 2013
    ..and proprietary data characterizing attributes of their residential environments and employ panel data statistical models that are robust to a broad class of potential sources of bias and reverse causality...
  24. Statistical Models in Epigenomics
    Kimberly D Siegmund; Fiscal Year: 2011
    ..We propose to develop mathematical models that can retrospectively reconstruct tumor histories, allowing us to address important biological questions about the growth and spread of cancer. ..
  25. Translational approaches to multilevel models of prenatal exposure to cigarettes
    Vanja Dukic; Fiscal Year: 2010
    ..This project is proposing to devise new Bayesian statistical models for prediction and calibration of smoking exposure measure, derived from combined biological and self-report ..
  26. BAYESIAN APPROACHES TO MODEL SELECTION FOR SURVIVAL DATA
    Joseph G Ibrahim; Fiscal Year: 2013
    ..1 ..
  27. Are Cardioprotective Medications Effective in ESRD?
    Theresa I Shireman; Fiscal Year: 2011
    ..Because of limitations with using this type of data, we must adjust the statistical models for non-random treatment assignment...
  28. Solutions for Vertigo presentations in the Emergency Department (SOLVE) Project
    KEVIN ANTHONY KERBER; Fiscal Year: 2012
    ..abstract_text> ..
  29. Space-time Modeling for Linking Climate Change,Pollutant Exposure, Built Environm
    Montserrat Fuentes; Fiscal Year: 2013
    ..We will achieve the following objectives: (1) The development of broad spatial-temporal statistical models to study the impact under climatic change conditions of air pollution on human health...
  30. (PQA4) GPS exposure to environments &relations with biomarkers of cancer risk
    Jacqueline Kerr; Fiscal Year: 2013
    ..Using multilevel statistical models adjusting for clustering, we will investigate whether GPS based Dynamic GIS measures of exposure to healthy ..
  31. Properties of HIV-1 DNA/RNA Assays for Detecting HIV Infection in Infants
    Raji Balasubramanian; Fiscal Year: 2012
    ..We will apply novel statistical models for the estimation of timing of MTCT that overcome disadvantages inherent in previously employed ad hoc ..
  32. Cortical Excitability: Biomarker and Endophenotype in Combat Related PTSD
    Zhewu Wang; Fiscal Year: 2013
    ..Several statistical models will be applied to analyze gene effects on endophenotype and PTSD phenotype...
  33. Emergence of Cardiometabolic Risk Across the Lifecycle in China
    Penny Gordon-Larsen; Fiscal Year: 2013
    ..in environments and outcomes, with enough variability to observe changes;and 3) insufficient use of complex statistical models to allow examination of each piece of the time-dependent, complex system...
  34. Refining Borderline Personality Disorder Using Flexible Latent Variable Modeling
    MICHAEL NELSON HALLQUIST; Fiscal Year: 2011
    ..The proposed research seeks to refine the prevailing conception of BPD using sophisticated statistical models and epidemiological samples, which will permit better classification of BPD, resulting in improved treatment ..
  35. Gene-Environment Interactions and Weight Gain
    Penny Gordon-Larsen; Fiscal Year: 2012
    ..and change will be identified in each cohort, and then gene by environment interactions will be assessed in statistical models predicting BMI over time...
  36. Integrating Genomic and Environmental Perspectives on Internalizing Disorders
    DANIEL E ADKINS; Fiscal Year: 2013
    ..Methodologically, this approach focuses on integrating longitudinal statistical models of phenotypic development and environmental risk with emerging genomic methods...
  37. Development of Spectroscopic Biomarkers of Bone Quality in Metastatic Disease
    Xiaohong Bi; Fiscal Year: 2013
    ..This will provide the PI tools to establish her independent research in bone metastasis. The results will serve as preliminary data for the PI's future extramural funding application. ..
  38. Developmental Methodology as Applied to Research on Adolescent Alcohol Use
    KRISTINA MELIA JACKSON; Fiscal Year: 2013
    ..To the degree that the issues affect the correspondence between statistical models and theories of development, our ability to validly test developmental theory is threatened...
  39. Air Pollution, Systemic Inflammation, and Sub-Clinical Atherosclerosis in High-Al
    RODRIGO XAVIER ARMIJOS; Fiscal Year: 2010
    ..These data will be used to adjust for measurement error in the PM exposure models. The multivariate statistical models will also consider the contributions of pollutant gases, weather conditions, altitude, and other potential ..
  40. Environmental Changes and Health Outcomes across 25 Years: Four US Cities
    Penny Gordon-Larsen; Fiscal Year: 2013
    ..renovation, and closure of food- and activity-related environmental features;and 3) lack of complex statistical models examining each piece of the time-dependent, complex system, accounting for the process by which food, ..
  41. Aging and Diabetes-Related Factors Compromising Bone Fracture Resistance
    JEFFRY STEPHEN NYMAN; Fiscal Year: 2013
    ..b>Statistical models will determine the relative contribution of the structural and the compositional properties to the fracture ..
  42. Associations between Ambient Air Pollution and Adverse Birth Outcomes in Florida
    Xiaohui Xu; Fiscal Year: 2013
    ..Therefore, this work is of critical public health importance because of the increasing rates of adverse pregnancy outcomes, their long-term health consequences and the omnipresent nature of air pollution. ..
  43. Dynamic Models of Racial Residential Segregation
    LINCOLN G QUILLIAN; Fiscal Year: 2011
    ....
  44. Modeling the Developmental Origins of Adult Disease Risk Factors
    Linda S Adair; Fiscal Year: 2012
    ..in addition to blood pressure, and anthropometric indicators of adiposity will be outcome variables for our statistical models. The centerpiece of the project is the development and estimation of structural equation models that ..
  45. Discovering Novel Genetic and Environmental Risk Factors for RA in African Americ
    RICHARD JAMES REYNOLDS; Fiscal Year: 2013
    ..on didactic training in the pathobiology of autoimmunity and hands-on training using state-of-the-art statistical models that can accommodate the unique challenges presented by high dimensional genetic data...
  46. Predicting Radiotherapy Outcomes by Combining Physical and Biological Factors
    ISSAM MUSTAFA EL NAQA; Fiscal Year: 2010
    ..In particular, we will use detectable blood-based biomarkers as well as treatment dose distribution characteristics to potentially improve our ability to predict (or avoid) radiation pneumonitis. ..
  47. Cancer Proteome Center at Washington Univ, Univ of North Carolina
    ROBERT REID TOWNSEND; Fiscal Year: 2013
    ..Bioinformatic tools with rigorous statistical models will be applied to meet the challenges of querying the genome directly with proteomic data (proteogenomics)...
  48. Vulnerability to Health Effects of Wildfires under a Changing Climate in Western
    Michelle L Bell; Fiscal Year: 2013
    ..g., unemployment) at the zip-code level with PM2.5 from forest fires. We will develop statistical models for estimating the association between exposure to forest fire smoke and risk of hospitalizations for ..
  49. CRCNS: Cytoskeletal Mechanisms of Dendrite Arbor Shape Development
    Daniel N Cox; Fiscal Year: 2013
    ..With this innovation, model predictions can be tested by molecular biological techniques, and findings of statistical models can be used to inform molecular models of dendrite arbor development...
  50. Biomarkers for Early Therapeutic Response in Older RA Patients
    Veena K Ranganath; Fiscal Year: 2013
    ....
  51. Repeat-Proteins;Stability, Folding Kinetics &Evolution
    DOUGLAS E BARRICK; Fiscal Year: 2012
    ..These rules will help us to understand the causes of "folding diseases", and will also provide new biomaterials that can be used to diagnose and perhaps ultimately treat human diseases. ..
  52. Toward Individually-tailored Medicine: Probabilistic Models of Cerebral Aneurysms
    Fernando Vinuela; Fiscal Year: 2012
    ..In addition, the BBN will be tested for its predictive capabilities and compared to other statistical models to assess its potential in guiding ICA treatment...
  53. Speech-based biomarkers of CNS dysfunction associated with early Alzheimers disea
    James C Mundt; Fiscal Year: 2012
    ..diagnostic information available through the ADCS database will be used to develop and validate multivariate statistical models to improve diagnostic screening, noninvasive monitoring of disease progression, and/or differential ..
  54. Community Partnership for Breastfeeding Promotion and Support
    ANN MARIE DOZIER; Fiscal Year: 2013
    ..guidelines;test if a modified BFPC model to enhance continuity further improves these outcomes and;develop statistical models that account for the SE model's different levels (intra/interpersonal, community and institutional) ..
  55. Development of a comprehensive model for colorectal cancer risk prediction
    Polly A Newcomb; Fiscal Year: 2013
    DESCRIPTION (provided by applicant): Risk of colorectal cancer (CRC) varies widely across the population. Statistical models have shown that there must be wide variation in the underlying 'familial risk profile'necessary to ..
  56. A Predictive Prognostic Model for Glioblastoma Multiforme
    Alex Bui; Fiscal Year: 2013
    ..This Rembrandt-TCGA BBN will then be evaluated against conventional statistical models (e.g...
  57. Metabolic Markers of Carbonyl, Oxidative and Nitrosative Stress in the DCCT/EDIC
    Vincent M Monnier; Fiscal Year: 2013
    ..Pentosidine and the nitrosylation product 3-nitrotyrosine will be determined by fluorescence HPLC. Statistical models will be tested to determine how these serum and urine markers relate to skin AGEs, contribute to long-term ..
  58. Mechanisms of Symptoms of Multiple Myeloma and Its Therapy
    Charles S Cleeland; Fiscal Year: 2012
    ..A special requirement is for the development of statistical models that can account for the relationship of symptom and biological variables over time...
  59. Mathematical Model of Parotid Acinar Differentiation
    Grzegorz A Rempala; Fiscal Year: 2012
    ..The primary goal of the current application is to develop formal mathematical and statistical models that will identify networks which cause terminal differentiation of parotid acinar cells...
  60. Investigating Methylation Patterns Associated with Alcohol Use and Addiction
    Shaunna L Clark; Fiscal Year: 2013
    ..Methodologically, this project focuses on integrating genomic methods with statistical models to better understand disease mechanisms...
  61. Multiplexed Serum Biomarkers for Pancreatic Cancer
    Anna Lokshin; Fiscal Year: 2009
    ..These efforts will strongly support the research and clinical goals of the EDRN. ..
  62. Genetic Modulation of Glaucoma
    Lu Lu; Fiscal Year: 2013
    ..Combining the top priority gene candidates from both mouse and human glaucoma studies, we will generate molecular and statistical models of susceptibility candidate genes, linked phenotypes, and associated mechanisms.
  63. Ambient PM2.5 and ETS exposure: interactive health effects for asthmatic children
    Matthew J Strand; Fiscal Year: 2010
    b>Statistical models that allow for estimation of health effects of air pollution are well developed when only one pollutant is considered...
  64. Patient safety and outcomes in sepsis
    Vincent Liu; Fiscal Year: 2010
    ..whether hospital-level measures of patient safety are associated with sepsis outcomes by using hierarchical statistical models. PUBLIC HEALTH RELEVANCE: Sepsis is the 10th leading cause of death in the United States and is associated ..
  65. Statistical Functional Data Analysis Models of Glucose and Insulin Kinetics
    Inna Chervoneva; Fiscal Year: 2010
    ..b>Statistical models for population-based rather than currently standard individual-based analysis of glucose/insulin dynamics ..
  66. IMMUNOSUPPRESSION IN A BINGE DRINKING MODEL
    Stephen Pruett; Fiscal Year: 1999
    ..In addition, the candidate has a cooperative agreement with EPA to develop statistical models to predict host resistance to infection or cancer on the basis of easily measured immunological parameters...
  67. OHTS and EGPS: Glaucoma detection using Confocal Scanning Laser Ophthalmology
    Linda Zangwill; Fiscal Year: 2009
    ..The Specific Aims are: 1) Improving Prediction Models using Baseline HRT indices. To develop statistical models that use baseline Heidelberg Retina Tomograph (HRT) topographic optic disc parameters to predict development ..
  68. Factors Affecting the Bone Response and Non-Response
    Laura Milliken; Fiscal Year: 2003
    ..The aims of this study are to 1) develop statistical models to predict one year through four year changes in regional and total body BMD from nutritional, hormonal, ..
  69. Anxiety and Depression among Elderly Public Housing Residents
    Adam Simning; Fiscal Year: 2009
    ..Aim 2 is to develop statistical models characterizing the association of anxiety and depression symptom severity with utilization of on-site aging ..
  70. STATISTICAL INFERENCE FOR COST-EFFECTIVENESS ANALYSIS
    Joseph Gardiner; Fiscal Year: 2002
    ..Incorporating these components into statistical models that accurately reflect the experience of patients as their health histories manifest over time permits ..
  71. COST EFFICIENT TREATMENT OF GERIATRIC DEPRESSION
    William McDonald; Fiscal Year: 2002
    ..The data generated will be used to develop statistical models of the most clinically effective and cost-efficient acute, continuation and maintenance treatments for ..
  72. Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation
    JEROME PHILLIP REITER; Fiscal Year: 2010
    ..Our approach is to simulate values of geography and other identifying attributes, such as age, from statistical models that capture the spatial dependencies in the collected data...
  73. ASSESSING RISK FACTORS AND HOSPITAL QUALITY FOR CABG
    Edward Hannan; Fiscal Year: 1992
    ....
  74. Adaptive Modeling of Longitudinal Health Outcomes for MACS Participants
    George Knafl; Fiscal Year: 2009
    ..Special methods are needed to adaptively search through alternative statistical models in order to identify an effective choice to apply to a given data set...
  75. Pathobiology of SAIDS-Associated Lymphomas
    Laura Levy; Fiscal Year: 2006
    ..A clear understanding of the mechanisms by which these cytokines effect positive and negative growth regulation of 1) lymphoma cells could contribute to the development of therapeutic agents that modulate their action. ..
  76. Mathematical and Statistical Models for Nucleosome
    Ji Ping Wang; Fiscal Year: 2010
    ..5) Automate the developed tools and algorithms. ..
  77. STATISTICAL MODELS OF GENETIC ANTICIPATION IN PSYCHIATRY
    Jian Huang; Fiscal Year: 2002
    ..Initial research will concentrate on new statistical tests for age-of-onset anticipation. Subsequently more general segregation and linkage models incorporating age-of-onset distributions for complex disorders will be developed. ..
  78. Novel Statistical Methods for Improving the Prediction of HIV-1 Response to ART a
    Matthew Rabinowitz; Fiscal Year: 2006
    ..Two key reasons for these shortcomings are the lack of suitable statistical models that accurately characterize the affect of the many different combinations of mutations, and the lack of ..
  79. Experimental Standards and Computational Platform for HTP Proteomics
    Eugene Kolker; Fiscal Year: 2009
    ..The computational platform will include new statistical models and software tools for HTP proteomics to serve both as the method and the means of validation of HTP ..
  80. New Methods and Software for Spatial-Regression Analysis
    David Drukker; Fiscal Year: 2006
    ..and Infectious Diseases) in that it will benefit health and social-science researchers by developing new statistical models and methods for analyzing spatial datasets and implementing those methods in a user-friendly fashion in ..