G L GadburySummaryAffiliation: University of Missouri-Rolla Country: USA Publications
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Publications
The PowerAtlas: a power and sample size atlas for microarray experimental design and researchGrier 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...
HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology dataPrinal 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...
Evaluating subject-treatment interaction when comparing two treatmentsG 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...
Cause-effect relationships in analytical surveys: an illustration of statistical issuesGary 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...
Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCFG 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...
The effects of intentional weight loss as a latent variable problemChristopher S Coffey
Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
Stat Med 24:941-54. 2005....
Evaluating statistical methods using plasmode data sets in the age of massive public databases: an illustration using false discovery ratesGary 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...
