statistical data interpretation

Summary

Summary: Application of statistical procedures to analyze specific observed or assumed facts from a particular study.

Top Publications

  1. ncbi Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    Kerby Shedden
    Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA
    BMC Bioinformatics 6:26. 2005
  2. 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
  3. ncbi The PowerAtlas: a power and sample size atlas for microarray experimental design and research
    Grier P Page
    Department of Biostatistics, University of Alabama, Birmingham, AL, USA
    BMC Bioinformatics 7:84. 2006
  4. ncbi Sample size and the probability of a successful trial
    Christy Chuang-Stein
    Global Statistics, Global Research and Development, Pfizer Inc, Ann Arbor, MI, USA
    Pharm Stat 5:305-9. 2006
  5. ncbi Extensions to the visual predictive check to facilitate model performance evaluation
    Teun M Post
    NV Organon, Oss, The Netherlands
    J Pharmacokinet Pharmacodyn 35:185-202. 2008
  6. ncbi Exploration, normalization, and summaries of high density oligonucleotide array probe level data
    Rafael A Irizarry
    Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA
    Biostatistics 4:249-64. 2003
  7. 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
  8. ncbi Clustering by passing messages between data points
    Brendan J Frey
    Department of Electrical and Computer Engineering, University of Toronto, 10 King s College Road, Toronto, Ontario M5S 3G4, Canada
    Science 315:972-6. 2007
  9. ncbi Validating the independent components of neuroimaging time series via clustering and visualization
    Johan Himberg
    Neural Networks Research Centre, Helsinki University of Technology, Helsinki, Finland
    Neuroimage 22:1214-22. 2004
  10. ncbi Quantitative real-time RT-PCR data analysis: current concepts and the novel "gene expression's CT difference" formula
    Jan H Schefe
    Center for Cardiovascular Research (CCR)/Institute of Pharmacology and Toxicology, , Hessische Strasse 3-4, 10115, Berlin, Germany
    J Mol Med 84:901-10. 2006

Detail Information

Publications257 found, 100 shown here

  1. ncbi Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    Kerby Shedden
    Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA
    BMC Bioinformatics 6:26. 2005
    ....
  2. 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...
  3. ncbi The PowerAtlas: a power and sample size atlas for microarray experimental design and research
    Grier P Page
    Department of Biostatistics, University of Alabama, Birmingham, AL, USA
    BMC Bioinformatics 7:84. 2006
    ..In addition, investigators frequently do not have pilot data to estimate the sample sizes required for microarray studies...
  4. ncbi Sample size and the probability of a successful trial
    Christy Chuang-Stein
    Global Statistics, Global Research and Development, Pfizer Inc, Ann Arbor, MI, USA
    Pharm Stat 5:305-9. 2006
    ..It complements an earlier work by O'Hagan et al. (Pharmaceutical Statistics 2005; 4:187-201) published in this journal. Computer codes to calculate the average success probability are included...
  5. ncbi Extensions to the visual predictive check to facilitate model performance evaluation
    Teun M Post
    NV Organon, Oss, The Netherlands
    J Pharmacokinet Pharmacodyn 35:185-202. 2008
    ..The proposed extensions to the VPC are illustrated by a pharmacokinetic simulation example and applied to a pharmacodynamic disease progression example...
  6. ncbi Exploration, normalization, and summaries of high density oligonucleotide array probe level data
    Rafael A Irizarry
    Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA
    Biostatistics 4:249-64. 2003
    ..We conclude that there is no obvious downside to using RMA and attaching a standard error (SE) to this quantity using a linear model which removes probe-specific affinities...
  7. 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...
  8. ncbi Clustering by passing messages between data points
    Brendan J Frey
    Department of Electrical and Computer Engineering, University of Toronto, 10 King s College Road, Toronto, Ontario M5S 3G4, Canada
    Science 315:972-6. 2007
    ..Affinity propagation found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time...
  9. ncbi Validating the independent components of neuroimaging time series via clustering and visualization
    Johan Himberg
    Neural Networks Research Centre, Helsinki University of Technology, Helsinki, Finland
    Neuroimage 22:1214-22. 2004
    ..The method is implemented in a software package called Icasso...
  10. ncbi Quantitative real-time RT-PCR data analysis: current concepts and the novel "gene expression's CT difference" formula
    Jan H Schefe
    Center for Cardiovascular Research (CCR)/Institute of Pharmacology and Toxicology, , Hessische Strasse 3-4, 10115, Berlin, Germany
    J Mol Med 84:901-10. 2006
    ..Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data...
  11. ncbi WebGestalt: an integrated system for exploring gene sets in various biological contexts
    Bing Zhang
    Graduate School in Genome Science and Technology, University of Tennessee-Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
    Nucleic Acids Res 33:W741-8. 2005
    ..Exploration of all the 48 gene sets using WebGestalt is available for the public at http://genereg.ornl.gov/webgestalt/wg_enrich.php...
  12. ncbi Patterns of intra-cluster correlation from primary care research to inform study design and analysis
    Geoffrey Adams
    Department of Public Health Sciences, King's College London, Capital House, 42 Weston Street, London SE1 3QD, UK
    J Clin Epidemiol 57:785-94. 2004
    ..Studies should be designed with reference to the overall distribution of ICCs and with attention to features that increase efficiency...
  13. ncbi External validity of randomised controlled trials: "to whom do the results of this trial apply?"
    Peter M Rothwell
    Stroke Prevention Research Unit, University Department of Clinical Neurology, Radcliffe Infirmary, Oxford OX2 6HE, UK
    Lancet 365:82-93. 2005
    ..This review discusses those determinants, presents a checklist for clinicians, and makes recommendations for greater consideration of external validity in the design and reporting of RCTs...
  14. ncbi Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide
    Karl Brendel
    INSERM U738, Paris, France
    Pharm Res 23:2036-49. 2006
    ..The aim of this study is to define and illustrate metrics for the external evaluation of a population model...
  15. ncbi Statistical issues in cDNA microarray data analysis
    Gordon K Smyth
    Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
    Methods Mol Biol 224:111-36. 2003
  16. ncbi Incongruence between test statistics and P values in medical papers
    Emili García-Berthou
    Department of Environmental Sciences, University of Girona, E 17071 Girona, Spain
    BMC Med Res Methodol 4:13. 2004
    ..Given an observed test statistic and its degrees of freedom, one may compute the observed P value with most statistical packages. It is unknown to what extent test statistics and P values are congruent in published medical papers...
  17. ncbi Tilescope: online analysis pipeline for high-density tiling microarray data
    Zhengdong D Zhang
    Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
    Genome Biol 8:R81. 2007
    ..The program is designed with a modular, three-tiered architecture, facilitating parallelism, and a graphic user-friendly interface, presenting results in an organized web page, downloadable for further analysis...
  18. ncbi What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes
    J Zhang
    Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892 7510, USA
    JAMA 280:1690-1. 1998
    ..We propose a simple method to approximate a risk ratio from the adjusted odds ratio and derive an estimate of an association or treatment effect that better represents the true relative risk...
  19. ncbi Inferring and validating horizontal gene transfer events using bipartition dissimilarity
    Alix Boc
    Departement d informatique, Universite du Quebec a Montreal, C P 8888, Succ Centre Ville, Montreal, Quebec, Canada
    Syst Biol 59:195-211. 2010
    ..Finally, a statistical framework for assessing the reliability of obtained HGTs by bootstrap analysis is also presented...
  20. ncbi Exploring the demographic history of DNA sequences using the generalized skyline plot
    K Strimmer
    Department of Zoology, University of Oxford
    Mol Biol Evol 18:2298-305. 2001
    ..We investigate the performance of our approach using simulation and subsequently apply it to HIV-1 sequences from central Africa and mtDNA sequences from red pandas...
  21. ncbi Rosetta error model for gene expression analysis
    Lee Weng
    Rosetta Inpharmatics LLC 401 Terry Avenue North, Seattle, WA 98109, USA
    Bioinformatics 22:1111-21. 2006
    ....
  22. ncbi DBD-Hunter: a knowledge-based method for the prediction of DNA-protein interactions
    Mu Gao
    Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, 250 14th Street NW, Atlanta, GA 30318, USA
    Nucleic Acids Res 36:3978-92. 2008
    ..DBD-Hunter is freely available at http://cssb.biology.gatech.edu/skolnick/webservice/DBD-Hunter/...
  23. ncbi Detection of functional DNA motifs via statistical over-representation
    Martin C Frith
    Bioinformatics Program, Boston University, 44 Cummington Street, Boston, MA 02215, USA
    Nucleic Acids Res 32:1372-81. 2004
    ..It also demonstrates superior performance over two contingency table based over-representation methods. In conclusion, Clover has the potential to greatly accelerate characterization of signals that regulate transcription...
  24. ncbi Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting
    Alain Dupuy
    Biometric Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
    J Natl Cancer Inst 99:147-57. 2007
    ..There is a need for critical review of the statistical analysis and reporting in published microarray studies that focus on cancer-related clinical outcomes...
  25. ncbi Codelink: an R package for analysis of GE healthcare gene expression bioarrays
    Diego Diez
    Instituto de Investigaciones Biomedicas Alberto Sols, Consejo Superior de Investigaciones Cientificas Universidad Autonoma de Madrid, Madrid, Spain
    Bioinformatics 23:1168-9. 2007
    ..AVAILABILITY: The software is implemented in the R language, is open source and available for download free of charge through the Bioconductor (http://www.bioconductor.org) project...
  26. ncbi Why most published research findings are false
    John P A Ioannidis
    Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
    PLoS Med 2:e124. 2005
    ..In this essay, I discuss the implications of these problems for the conduct and interpretation of research...
  27. ncbi Research guidelines for the Delphi survey technique
    F Hasson
    Centre for Nursing Research, University of Ulster, Newtownabbey, Northern Ireland
    J Adv Nurs 32:1008-15. 2000
    ..The paper does not claim to be definitive; it purports to act as a guide for those researchers who wish to exploit the Delphi methodology...
  28. ncbi Analysis of data with excess zeros
    Peter A Lachenbruch
    FDA Center for Biologics Research and Review, Office of Biostatistics and Epidemiology, Rockville, MD, USA
    Stat Methods Med Res 11:297-302. 2002
    ..The second part of the paper summarizes results of a study of the size and power of two-part models. It proposes that two-part models are a useful alternative to the t-test and the Wilcoxon test...
  29. ncbi Biological profiling of gene groups utilizing Gene Ontology
    Nils Blüthgen
    Institute for Theoretical Biology, Humboldt University Berlin, Germany
    Genome Inform 16:106-15. 2005
    ..The software package GOSSIP implements our method and is made freely available at http://gossip.gene-groups.net/...
  30. ncbi Modelling covariance structure in the analysis of repeated measures data
    R C Littell
    Department of Statistics, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida 32611, USA
    Stat Med 19:1793-819. 2000
    ..In many situations, estimates of linear combinations are invariant with respect to covariance structure, yet standard errors of the estimates may still depend on the covariance structure...
  31. ncbi The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists
    Da Wei Huang
    Laboratory of Immunopathogenesis and Bioinformatics, Clinical Services Program, SAIC Frederick, Inc, National Cancer Institute at Frederick, Frederick, MD 21702, USA
    Genome Biol 8:R183. 2007
    ..It is a powerful method to group functionally related genes and terms into a manageable number of biological modules for efficient interpretation of gene lists in a network context...
  32. ncbi Assessing heterogeneity in meta-analysis: Q statistic or I2 index?
    Tania B Huedo-Medina
    Department of Basic Psychology and Methodology, University of Murcia, Murcia, Spain
    Psychol Methods 11:193-206. 2006
    ..The results show the utility of the I(2) index as a complement to the Q test, although it has the same problems of power with a small number of studies...
  33. ncbi The investigation of functional brain lateralization by transcranial Doppler sonography
    Michael Deppe
    Department of Neurology, University of Munster, D 48129 Munster, Germany
    Neuroimage 21:1124-46. 2004
    ....
  34. ncbi Issues in using progression-free survival when evaluating oncology products
    Thomas R Fleming
    Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195 7232, USA
    J Clin Oncol 27:2874-80. 2009
    ....
  35. ncbi Structural asymmetries in the human brain: a voxel-based statistical analysis of 142 MRI scans
    K E Watkins
    Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
    Cereb Cortex 11:868-77. 2001
    ..The above asymmetries were observed in men and women. Our results thus provide confirmation of the known structural asymmetries in the human brain as well as new findings that may stimulate further research of hemispheric specialization...
  36. ncbi Meta-DiSc: a software for meta-analysis of test accuracy data
    Javier Zamora
    Clinical Biostatistics Unit, Ramon y Cajal Hospital, Spain
    BMC Med Res Methodol 6:31. 2006
    ..In this article, we present Meta-DiSc, a Windows-based, user-friendly, freely available (for academic use) software that we have developed, piloted, and validated to perform diagnostic meta-analysis...
  37. ncbi A general approach to single-nucleotide polymorphism discovery
    G T Marth
    Washington University Department of Genetics and Genome Sequencing Center, St Louis, Missouri, USA
    Nat Genet 23:452-6. 1999
    ..We demonstrate this approach by accurate SNP predictions in human ESTs aligned to finished and working-draft quality genomic sequences, a data set representative of the typical challenges of sequence-based SNP discovery...
  38. ncbi Molecular systematics of the Eastern Fence Lizard (Sceloporus undulatus): a comparison of Parsimony, Likelihood, and Bayesian approaches
    Adam D Leaché
    Department of Biology, San Diego State University, San Diego, California 92182 4614, USA
    Syst Biol 51:44-68. 2002
    ..This evidence, along with convincing patterns of phylogeographic differentiation suggests "S. undulatus" represents at least four lineages that should be recognized as evolutionary species...
  39. ncbi Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker
    Margaret Sullivan Pepe
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
    Am J Epidemiol 159:882-90. 2004
    ..In addition, the serious pitfalls of using more traditional methods based on parameters in logistic regression models are illustrated...
  40. ncbi Missing data, incomplete taxa, and phylogenetic accuracy
    John J Wiens
    Department of Ecology and Evolution, State University of New York, Stony Brook, New York 11794 5245, USA
    Syst Biol 52:528-38. 2003
    ....
  41. ncbi People are variables too: multilevel structural equations modeling
    Paras D Mehta
    Department of Psychology, Texas Institute for Measurement Evaluation and Statistics, University of Houston, Houston, TX 77204 5022, USA
    Psychol Methods 10:259-84. 2005
    ..Methodological issues regarding estimation of complex ML-SEMs and the evaluation of model fit are discussed. Further potential applications of ML-SEMs are explored...
  42. ncbi Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews
    Johannes B Reitsma
    Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, University of Amsterdam, PO Box 22700, 1100 DE Amsterdam, The Netherlands
    J Clin Epidemiol 58:982-90. 2005
    ..Studies of diagnostic accuracy most often report pairs of sensitivity and specificity. We demonstrate the advantage of using bivariate meta-regression models to analyze such data...
  43. ncbi Comparisons of two-part models with competitors
    P A Lachenbruch
    FDA CBER Division of Biostatistics and Epidemiology, Food and Drug Administration, 1401 Rockville Pike, Rockville, MD 20852 1448, USA
    Stat Med 20:1215-34. 2001
    ..In those cases, the two-part models are not far behind, although statistically significantly poorer with respect to power. Published in 2001 by John Wiley & Sons, Ltd...
  44. ncbi Motor learning transiently changes cortical somatotopy
    Katiuska Molina-Luna
    Department of General Neurology, Hertie Institute for Clinical Brain Research, University of Tubingen, Hoppe Seyler Str 3, 72076 Tubingen, Germany
    Neuroimage 40:1748-54. 2008
    ..The motor memory trace in rats may require changes in motor cortex organization other than those detected by stimulation mapping...
  45. ncbi Bias in error estimation when using cross-validation for model selection
    Sudhir Varma
    Biometric Research Branch, National Cancer Institute, Bethesda, MD, USA
    BMC Bioinformatics 7:91. 2006
    ..We have evaluated the validity of using the CV error estimate of the optimized classifier as an estimate of the true error expected on independent data...
  46. ncbi Statistical analysis of real-time PCR data
    Joshua S Yuan
    Department of Plant Sciences, University of Tennessee, Knoxville, TN 37996, USA
    BMC Bioinformatics 7:85. 2006
    ..Based on the standard curve method and other useful data analysis methods, we present and compare four statistical approaches and models for the analysis of real-time PCR data...
  47. ncbi Statistics in medicine--reporting of subgroup analyses in clinical trials
    Rui Wang
    N Engl J Med 357:2189-94. 2007
  48. ncbi Trend tests for case-control studies of genetic markers: power, sample size and robustness
    B Freidlin
    Biometric Research Branch, National Cancer Institute, Rockville, MD 20892, USA
    Hum Hered 53:146-52. 2002
    ..Simulation results of the robustness of these two tests indicate that the more computationally involved MAX test is preferable...
  49. ncbi A substantial and confusing variation exists in handling of baseline covariates in randomized controlled trials: a review of trials published in leading medical journals
    Peter C Austin
    Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
    J Clin Epidemiol 63:142-53. 2010
    ..Furthermore, some have advocated for the use of regression adjustment to estimate the effect of treatment after adjusting for potential imbalances in prognostically important baseline covariates between treatment groups...
  50. ncbi Imputation strategies for missing data in a school-based multi-centre study: the Pathways study
    S Hunsberger
    National Cancer Institute, Executive Plaza North, Rm 739, 6130 Executive Boulevard, Bethesda, MD 20892, USA
    Stat Med 20:305-16. 2001
    ..The results from our simulation study showed that, for missing data patterns that are relevant to the Pathways study, this procedure has high power and maintains the type I error rate. Published in 2001 by John Wiley & Sons, Ltd...
  51. ncbi Adjusting for multiple testing--when and how?
    R Bender
    Institute of Epidemiology and Medical Statistics, School of Public Health, University of Bielefeld, Germany
    J Clin Epidemiol 54:343-9. 2001
    ..In case of multiple significance tests a note on the error rate that will be controlled for is desirable...
  52. ncbi Bioinformatics applications for pathway analysis of microarray data
    Thomas Werner
    Genomatix Software GmbH, Bayerstr 85A, D 80335 München, Germany
    Curr Opin Biotechnol 19:50-4. 2008
    ..A brief outlook of the application of such approaches to the newest microarray-based technologies (Chromatin-ImmunoPrecipitation, ChIP-on-chip) concludes the review...
  53. ncbi RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens
    Nora Rieber
    Viroquant Research Group Modeling, University of Heidelberg, Bioquant BQ26, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
    Bioinformatics 25:678-9. 2009
    ..The results of the analysis are presented as a set of HTML pages. Additionally, all values and plots are available as either text files or pdf and png files. AVAILABILITY: http://bioconductor.org/..
  54. ncbi Metagenes and molecular pattern discovery using matrix factorization
    Jean-Philippe Brunet
    The Eli and Edythe L. Broad Institute, Massachusetts Institute of Technology and Harvard University, 320 Charles Street, Cambridge, MA 02141, USA
    Proc Natl Acad Sci U S A 101:4164-9. 2004
    ..This ability, similar to semantic polysemy in text, provides a general method for robust molecular pattern discovery...
  55. ncbi Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, U K
    Stat Med 23:1195-214. 2004
    ..The methods presented in this paper can be used by applied researchers to protect against loss of power, or to choose a design which reduces the impact of uncertainty in the ICC...
  56. ncbi A comparison of methods for estimating the causal effect of a treatment in randomized clinical trials subject to noncompliance
    Roderick J Little
    Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
    Biometrics 65:640-9. 2009
    ..Methods are illustrated on data from the Women Take Pride study, an assessment of behavioral treatments for women with heart disease...
  57. ncbi Association between unreported outcomes and effect size estimates in Cochrane meta-analyses
    Toshi A Furukawa
    JAMA 297:468-70. 2007
  58. ncbi Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems
    Stuart J Pocock
    Medical Statistics Unit, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
    Stat Med 21:2917-30. 2002
    ....
  59. ncbi A computational platform for MALDI-TOF mass spectrometry data: application to serum and plasma samples
    Dante Mantini
    Istituto Tecnologie Avanzate Biomediche ITAB, Fondazione G D Annunzio, Chieti, Italy
    J Proteomics 73:562-70. 2010
    ..In this work, we propose an integrated software platform, MASCAP, intended for comparative biomarker detection from MALDI-TOF MS data...
  60. ncbi Outcome based subgroup analysis: a neglected concern
    Karim F Hirji
    Department of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
    Trials 10:33. 2009
    ..This paper highlights some of the distinct ways in which outcome based subgroup analysis occurs, describes the hazards associated with it, and proposes a simple alternative approach to counter its analytic bias...
  61. ncbi Imputation of missing data when measuring physical activity by accelerometry
    Diane J Catellier
    Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27514 4145, USA
    Med Sci Sports Exerc 37:S555-62. 2005
    ..The fact that counts are not being recorded during periods in which the monitor is not worn means that many common estimators of daily physical activity are biased downward...
  62. ncbi Desflurane selectively suppresses long-latency cortical neuronal response to flash in the rat
    Anthony G Hudetz
    Department of Anesthesiology, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA
    Anesthesiology 111:231-9. 2009
    ..The authors studied the effect of desflurane on resting and visual evoked unit activity in rat visual cortex in vivo...
  63. ncbi Diagnosis and exploration of massively univariate neuroimaging models
    Wen-Lin Luo
    Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
    Neuroimage 19:1014-32. 2003
    ..We apply our methods to a fMRI data set, demonstrating their ability to localize subtle artifacts and to discover systematic experimental variation not captured by the model...
  64. ncbi Unbiased location analysis of E2F1-binding sites suggests a widespread role for E2F1 in the human genome
    Mark Bieda
    Department of Pharmacology and the Genome Center, University of California-Davis, Davis, California 95616, USA
    Genome Res 16:595-605. 2006
    ....
  65. ncbi Commentary: Heterogeneity in meta-analysis should be expected and appropriately quantified
    Julian P T Higgins
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK
    Int J Epidemiol 37:1158-60. 2008
  66. ncbi Classification of microarrays to nearest centroids
    Alan R Dabney
    Department of Biostatistics, University of Washington, Seattle, 98195, USA
    Bioinformatics 21:4148-54. 2005
    ..In this spirit, I seek to assess the performance of classifiers simpler than even PAM...
  67. ncbi The bootstrap and cross-validation in neuroimaging applications: estimation of the distribution of extrema of random fields for single volume tests, with an application to ADC maps
    Roberto Viviani
    Department of Psychiatry III, University of Ulm, Germany
    Hum Brain Mapp 28:1075-88. 2007
    ..As case studies, we present parametric maps of lesions in patients suffering from stroke and glioblastoma at different stages of evolution...
  68. ncbi Mining statistically significant associations for exploratory analysis of human sleep data
    Parameshvyas Laxminarayan
    iProspect com, Watertown, MA 02472, USA
    IEEE Trans Inf Technol Biomed 10:440-50. 2006
    ..Our experience suggests that association mining may also be useful for selection of variables prior to using logistic regression...
  69. ncbi Statistical aspects of parallel imaging reconstruction
    Ashish Raj
    Conf Proc IEEE Eng Med Biol Soc 1:377-80. 2006
    ..We show examples of simulation and in vivo reconstructed data which demonstrate the potential of the statistical approach...
  70. ncbi A methodology for global validation of microarray experiments
    Mathieu Miron
    McGill University and Genome Quebec Innovation Centre, 740 avenue du Docteur Penfield, Montreal, Quebec, H3A 1A4, Canada
    BMC Bioinformatics 7:333. 2006
    ..Thus, it is not possible to generalize validation results to the remaining majority of non-validated genes or to evaluate the overall quality of these studies...
  71. ncbi Robust estimation of the false discovery rate
    Stan Pounds
    Department of Biostatistics, St. Jude Children's Research Hospital 332 N. Lauderdale Street, Memphis, TN 38135, USA
    Bioinformatics 22:1979-87. 2006
    ..AVAILABILITY: Libraries of S-plus and R routines to implement the method are freely available from www.stjuderesearch.org/depts/biostats...
  72. ncbi The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison
    Allan A Sioson
    Department of Computer Science, Virginia Tech, Blacksburg, USA
    BMC Bioinformatics 7:215. 2006
    ..By contrast, Expresso can use either IIV data or median intensity values (MIV). Here, we compare Expresso and TM4 analysis of two experiments and assess the results against qRT-PCR data...
  73. ncbi Construction of null statistics in permutation-based multiple testing for multi-factorial microarray experiments
    Xin Gao
    Department of Mathematics and Statistics, York University 4700 Keele Street, Toronto, ON M3J 1P3, Canada
    Bioinformatics 22:1486-94. 2006
    ..It has been shown that our proposed method has a better control of the FDRs and a higher power than the standard permutation method to detect differentially expressed genes because of the better approximated tail probabilities...
  74. ncbi Numerical solutions for patterns statistics on Markov chains
    Gregory Nuel
    Laboratoire Statistique et Genome, CNRS 8071, INRA 1152, UEVE, Evry, France
    Stat Appl Genet Mol Biol 5:Article26. 2006
    ..genopole.cnrs.fr/spatt) implementing all these methods is then used to compare all these approaches in terms of computational time and reliability in the most complete pattern statistics benchmark available at the present time...
  75. ncbi A Gibbs sampler for the identification of gene expression and network connectivity consistency
    Mark P Brynildsen
    Department of Chemical and Biomolecular Engineering, University of California Los Angeles, CA 90095, USA
    Bioinformatics 22:3040-6. 2006
    ..g. sequence analysis, etc.). AVAILABILITY: Our algorithm is available on request from the authors and soon to be posted on the web. See author's homepage for details, http://www.seas.ucla.edu/~liaoj/..
  76. ncbi Regression analysis of panel count data with dependent observation times
    Jianguo Sun
    Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, Missouri 65211, USA
    Biometrics 63:1053-9. 2007
    ..An illustrative example from a cancer study is provided...
  77. ncbi Maximum-likelihood registration of range images with missing data
    Gregory C Sharp
    Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA
    IEEE Trans Pattern Anal Mach Intell 30:120-30. 2008
    ..Experiments demonstrate a high rates of convergence on complex scenes with varying degrees of overlap...
  78. ncbi Assessing the information content of short time series expression data
    Eric H Yang
    Rutgers University, Piscataway, NJ 08845, USA
    Conf Proc IEEE Eng Med Biol Soc 1:5535-8. 2006
    ....
  79. ncbi ProbCD: enrichment analysis accounting for categorization uncertainty
    Ricardo Z N Vencio
    Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103 8904, USA
    BMC Bioinformatics 8:383. 2007
    ....
  80. ncbi Exploiting sample variability to enhance multivariate analysis of microarray data
    Carla S Moller-Levet
    Paterson Institute for Cancer Research, Cancer Research UK, Manchester, M20 4BX, UK
    Bioinformatics 23:2733-40. 2007
    ..Here, we consider a novel approach that uses the variability between arrays to provide an extra source of information that can enhance gene expression analyses...
  81. ncbi A general approach to sample size determination for prevalence surveys that use dual test protocols
    Dunlei Cheng
    Institute for Health Care Research and Improvement, Baylor Health Care System, 8080 North Central Expressway, 500, Dallas, TX 75206, USA
    Biom J 49:694-706. 2007
    ..We also examine the impact on required sample size when adding an extra heterogeneous population to a study...
  82. ncbi Regression analysis of multivariate panel count data
    Xin He
    Department of Statistics, University of Missouri, 146 Middlebush Hall, Columbia, MO 65211 6100, USA
    Biostatistics 9:234-48. 2008
    ..The methodology is applied to a motivating study of patients with psoriatic arthritis in which the events of interest are the onset of joint damage according to 2 different criteria...
  83. ncbi Orthogonal projections to latent structures as a strategy for microarray data normalization
    Max Bylesjo
    Research Group for Chemometrics, Department of Chemistry, Umea University, Umea, Sweden
    BMC Bioinformatics 8:207. 2007
    ..In order to properly estimate biological effects, these biases must be identified and discarded...
  84. ncbi Just-identified versus overidentified two-level hierarchical linear models with missing data
    Yongyun Shin
    University of Michigan, 439 West Hall, 1085 South University, Ann Arbor, Michigan 48109 1107, USA
    Biometrics 63:1262-8. 2007
    ..The approach allows outcomes and covariates to be missing at either of the two levels, and the HLM of interest can involve the regression of any subset of variables on a disjoint subset of variables conceived as covariates...
  85. ncbi Parametric and semiparametric model-based estimates of the finite population mean for two-stage cluster samples with item nonresponse
    Ying Yuan
    Department of Biostatistics and Applied Mathematics, M D Anderson Cancer Center, Houston, Texas 77030, USA
    Biometrics 63:1172-80. 2007
    ..These new methods are compared with existing approaches by simulation. The National Health and Nutrition Examination Survey data are used to illustrate these approaches...
  86. ncbi Detecting differential expression in microarray data: comparison of optimal procedures
    Elena Perelman
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
    BMC Bioinformatics 8:28. 2007
    ..The relationship and relative performance of these methods in two-sample comparisons is currently unknown...
  87. ncbi A cautionary note on design implications when the primary analysis is a stratified analysis of a binary endpoint
    Christy Chuang-Stein
    Pfizer Global Research and Development, Ann Arbor, Michigan 48105, USA
    Biom J 48:978-83. 2006
    ..The discussion in this paper is illustrated by a hypothetical example, which nevertheless resembles the findings from a confirmatory trial involving the evaluation of a biologic for severe sepsis...
  88. ncbi The effect of short-range spatial variability on soil sampling uncertainty
    Marcel van der Perk
    Department of Physical Geography, Utrecht University, P O Box 80115, 3508 TC Utrecht, The Netherlands
    Appl Radiat Isot 66:1582-7. 2008
    ..The contaminated site exhibited significant short-range spatial variability in elemental composition, which resulted in sampling uncertainties of 20-30%...
  89. ncbi Randomization improves sparse sampling in multidimensional NMR
    Jeffrey C Hoch
    Department of Molecular, Microbial, and Structural Biology, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030 3305, USA
    J Magn Reson 193:317-20. 2008
    ....
  90. ncbi The impact of sample imbalance on identifying differentially expressed genes
    Kun Yang
    Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China
    BMC Bioinformatics 7:S8. 2006
    ..In addition, it is not clear which method is more suitable for the unbalanced data...
  91. ncbi Inference methods for saturated models in longitudinal clinical trials with incomplete binary data
    James X Song
    Global Biometry, Bayer HealthCare, Pharma Division, West Haven, CT 06460, USA
    Pharm Stat 5:295-304. 2006
    ..Both methods provide unbiased estimates when the missingness mechanism is missing at random (MAR) assumption. Sensitivity analyses have been performed for cases when the MAR assumption is in question...
  92. ncbi Multiple testing in large-scale contingency tables: inferring patterns of pair-wise amino acid association in beta-sheets
    Seoung Bum Kim
    Department of Industrial and Manufacturing Systems Engineering, University of Texas at Arlington, TX 76019, USA
    Int J Bioinform Res Appl 2:193-217. 2006
    ..We identify a number of amino acid pairs that exhibit either strong or weak association...
  93. ncbi Statistical significance analysis of longitudinal gene expression data
    Xu Guo
    Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, MMC 303, Minneapolis, MN 55455-0378, USA
    Bioinformatics 19:1628-35. 2003
    ..Using simulated data, we also show pitfalls in drawing statistical inference when the within-subject correlation in longitudinal gene expression data is ignored...
  94. ncbi Robust detection of periodic time series measured from biological systems
    Miika Ahdesmäki
    Institute of Signal Processing, Tampere University of Technology, P O Box 553, 33101 Tampere, Finland
    BMC Bioinformatics 6:117. 2005
    ..Hence, the computational methods should preferably be robust against such anomalies in the data...
  95. ncbi Scoring functions for transcription factor binding site prediction
    Markus Friberg
    Institute of Computational Science, ETH, 8092 Zurich, Switzerland
    BMC Bioinformatics 6:84. 2005
    ....
  96. ncbi Feature selection and nearest centroid classification for protein mass spectrometry
    Ilya Levner
    Department of Computing Science, University of Alberta, Canada
    BMC Bioinformatics 6:68. 2005
    ..This paper examines feature selection techniques for proteomic mass spectrometry...
  97. ncbi "Harshlighting" small blemishes on microarrays
    Mayte Suárez-Fariñas
    Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Ave, Box 212, New York, NY 10021, USA
    BMC Bioinformatics 6:65. 2005
    ..However, most blemishes are hard to find by the unaided eye, particularly in high-density oligonucleotide arrays (HDONAs)...
  98. ncbi In silico microdissection of microarray data from heterogeneous cell populations
    Harri Lähdesmäki
    Institute of Signal Processing, Tampere University of Technology, P O Box 553, 33101 Tampere, Finland
    BMC Bioinformatics 6:54. 2005
    ..Similarly, irrelevant gene combinations can be discovered in the case of gene expression based classification...
  99. ncbi Unbiased descriptor and parameter selection confirms the potential of proteochemometric modelling
    Eva Freyhult
    The Linnaeus Centre for Bioinformatics, Uppsala University, Box 598, S 751 24 Uppsala, Sweden
    BMC Bioinformatics 6:50. 2005
    ..In particular, variable subset selection performed to date has always relied on using all available examples, a situation also encountered in microarray gene expression data analysis...
  100. ncbi Two-part permutation tests for DNA methylation and microarray data
    Markus Neuhauser
    Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg Essen, Hufelandstr, 55, D 45122 Essen, Germany
    BMC Bioinformatics 6:35. 2005
    ..A similar situation occurs when DNA methylation data are investigated. In that case, there are null values (undetectable methylation) and observed positive values. For these data, we propose a two-part permutation test...
  101. ncbi Evaluating concentration estimation errors in ELISA microarray experiments
    Don Simone Daly
    Statistical and Mathematical Sciences, Pacific Northwest National Laboratory, PO Box 999, Richland, WA, USA
    BMC Bioinformatics 6:17. 2005
    ..Therefore, we briefly discuss the roles of experimental design, data screening, normalization, and statistical diagnostics when evaluating ELISA microarray concentration estimation errors...

Research Grants68

  1. Core--Informatics, Biostatistics and data management
    Jeffrey Trent; Fiscal Year: 2005
    ..In summary, this Core will provide the bioinformatics that will be crucial to the success of Projects 2 and 3, and will provide statistical support in terms of experimental design and data analysis for all Consortium members...
  2. The Effect of Exercise on Progression of Knee OA
    ANDREW CONCOFF; Fiscal Year: 2003
    ..Eventually, optimal exercise regimens will be sought for both primary and secondary prevention of OA at various joints and stages. ..
  3. Pro-Inflammatory HDL as a Novel Target for the Indentification of Atherosclerosis
    Maureen McMahon; Fiscal Year: 2007
    ..Targeting PiHDL with interventions that restore protective function to HDL might be considered for prevention of ATH in both lupus and non lupus patients. ..
  4. LONG QT SYNDROME--POPULATION, GENETIC & CARDIAC STUDIES
    Arthur Moss; Fiscal Year: 2002
    ..This integrated research program is intended to: 1) improve the presymptomatic diagnosis and treatment of LQTS; and 2) provide a fundamental understanding of the molecular basis of repolarization-related cardiac arrhythmias. ..
  5. Mild Cognitive Impairment: Cerebrovascular Dysfunction and Exercise Training
    RONG contact ZHANG; Fiscal Year: 2010
    ..The new knowledge will have significant impact on prevention or treatment of AD. ..
  6. Mentored Patient-Oriented Research Career Development Aw
    James Stein; Fiscal Year: 2005
    ..Finally, Dr. Stein will determine if these medications impair postprandial clearance of triglyceride-containing lipoproteins by assessing lipid and lipoprotein responses to an oral fat load. ..
  7. HEALTH RESEARCH TRAINING PROGRAM
    Genevieve Ames; Fiscal Year: 2002
    ....
  8. Quality Threshold Analysis of Prostate Cancers
    Carlos Moreno; Fiscal Year: 2004
    ..Identification of genetic profiles associated with prostatic neoplasias that are more likely to result in aggressive disease may lead to improved management of prostate cancer patients. ..
  9. The Neurobiological Basis of Prodromal States and Psychosis in Adolescence
    Melita Daley; Fiscal Year: 2007
    ....
  10. BIODEMOGRAPHIC ANALYSIS OF AGING TRAJECTORIES
    Shiro Horiuchi; Fiscal Year: 2002
    ....
  11. Heart Failure Clinical Research Network - DCC
    Kerry Lee; Fiscal Year: 2007
    ..End of Abstract) ..
  12. Biometrical Modeling of Fertility Using the NLSY
    JOSEPH RODGERS; Fiscal Year: 2006
    ..Potential moderators/mediators include education, family structure, and quality of the family environment. ..
  13. STRUCTURE, PROCESS AND OUTCOMES IN THE PACE PROGRAM
    Dana Mukamel; Fiscal Year: 2003
    ..The knowledge gained from this study would have direct bearing on efforts to improve care in PACE programs, as well as implications for other programs serving frail, non-institutionalized elderly. ..