Learning from our GWAS mistakes
Removing technical variability in RNA-seq data using conditional quantile normalization
Sample size determination for classifiers based on single-nucleotide polymorphisms
Family-based association tests using genotype data with uncertainty
Classification method for disease risk mapping based on discrete hidden Markov random fields
On the covariate-adjusted estimation for an overall treatment difference with data from a randomized comparative clinical trial
A two-stage strategy to accommodate general patterns of confounding in the design of observational studies
Estimating causal effects of air quality regulations using principal stratification for spatially correlated multivariate intermediate outcomes
Restricted fence method for covariate selection in longitudinal data analysis
A measure of explained risk in the proportional hazards model
Robust best linear estimation for regression analysis using surrogate and instrumental variables
A Bayesian model for time-to-event data with informative censoring
A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time