G L Gadbury

Summary

Affiliation: University of Missouri-Rolla
Country: USA

Publications

  1. pmc 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
  2. pmc HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology data
    Prinal Trivedi
    Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
    BMC Bioinformatics 6:86. 2005
  3. ncbi request reprint Evaluating subject-treatment interaction when comparing two treatments
    G L Gadbury
    Department of Mathematics and Statistics, Univesity of Missouri Rolla, 65409, USA
    J Biopharm Stat 11:313-33. 2001
  4. ncbi request reprint Cause-effect relationships in analytical surveys: an illustration of statistical issues
    Gary L Gadbury
    Department of Mathematics and Statistics, University of Missouri, Rolla, Missouri, USA
    Environ Monit Assess 83:205-27. 2003
  5. ncbi request reprint Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF
    G L Gadbury
    Department of Mathematics and Statistics, University of Missouri Rolla, Rolla, MO 65409, USA
    Obes Rev 4:175-84. 2003
  6. ncbi request reprint The effects of intentional weight loss as a latent variable problem
    Christopher S Coffey
    Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
    Stat Med 24:941-54. 2005
  7. pmc Evaluating statistical methods using plasmode data sets in the age of massive public databases: an illustration using false discovery rates
    Gary L Gadbury
    Department of Statistics, Kansas State University, Manhattan, Kansas, United States of America
    PLoS Genet 4:e1000098. 2008

Collaborators

Detail Information

Publications7

  1. pmc 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...
  2. pmc HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology data
    Prinal Trivedi
    Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
    BMC Bioinformatics 6:86. 2005
    ..HDBStat! provides statisticians and biologists a flexible and easy-to-use interface to analyze complex microarray data using a variety of methods for data preprocessing, quality control analysis and hypothesis testing...
  3. ncbi request reprint Evaluating subject-treatment interaction when comparing two treatments
    G L Gadbury
    Department of Mathematics and Statistics, Univesity of Missouri Rolla, 65409, USA
    J Biopharm Stat 11:313-33. 2001
    ..Applications of the proposed procedures to clinical decision making, pharmacogenetic studies, and other contexts are discussed...
  4. ncbi request reprint Cause-effect relationships in analytical surveys: an illustration of statistical issues
    Gary L Gadbury
    Department of Mathematics and Statistics, University of Missouri, Rolla, Missouri, USA
    Environ Monit Assess 83:205-27. 2003
    ..Recommendations are made designed to maximize the possibility of identifying cause-effect relationships in large-scale natural resources surveys...
  5. ncbi request reprint Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF
    G L Gadbury
    Department of Mathematics and Statistics, University of Missouri Rolla, Rolla, MO 65409, USA
    Obes Rev 4:175-84. 2003
    ..Moreover, their recent introduction into current releases of statistical software and textbooks makes them more readily available to the applied data analyses...
  6. ncbi request reprint The effects of intentional weight loss as a latent variable problem
    Christopher S Coffey
    Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
    Stat Med 24:941-54. 2005
    ....
  7. pmc Evaluating statistical methods using plasmode data sets in the age of massive public databases: an illustration using false discovery rates
    Gary L Gadbury
    Department of Statistics, Kansas State University, Manhattan, Kansas, United States of America
    PLoS Genet 4:e1000098. 2008
    ..We use the procedure to compare estimates for the proportion of true null hypotheses, the false discovery rate (FDR), and a local version of FDR obtained from 15 different statistical methods...