Study design: the basics / Hyun Ja Lim and Raymond G. Hoffmann
Observational study design / Raymond G. Hoffmann and Hyun Ja Lim
Descriptive statistics / Todd G. Nick
Basic principles of statistical inference / Wanzhu Tu
Statistical inference on categorical variables / Susan M. Perkins
Development and evaluation of classifiers / Todd A. Alonzo and Margaret Sullivan Pepe
Comparison of means / Nancy Berman
Correlation and simple linear regression / Lynn E. Eberly
Multiple linear regression / Lynn E. Eberly
General linear models / Edward H. Ip
Linear mixed effects models / Ann L. Oberg and Douglas W. Mahoney
Design and analysis of experiments / Jonathan J. Shuster
Analysis of change / James J. Grady
Logistic regression / Todd G. Nick and Kathleen M. Campbell
Survival analysis / Hongyu Jiang and Jason P. Fine
Basic Bayesian methods / Mark E. Glickman and David A. van Dyk
Overview of missing data techniques / Ralph B. D'agostino, Jr.
Statistical topics in the laboratory sciences / Curtis A. Parvin
Power and sample size / L. Douglas Case and Walter T. Ambrosius
Microarray analysis / Grier P. Page ... [et al.]
Association methods in human genetics / Carl D. Langefeld and Tasha E. Fingerlin
Genome mapping statistics and bioinformatics / Josyf C. Mychaleckyj
Working with a statistician / Nancy Berman and Christina Gullion.