Applications are open
Explore sampling and misclassification biases in association analyses from GWAS/PheWAS using EHR
R package for Selection and Misclassification Bias Adjustment for Logistic Regression Models.
Interactive PheWAS results from analyses conducted using Michigan Genomics Initiative and UK Biobank data.
R package for genome-wide association studies (GWAS)/gene-environment-wide interaction studies (GEWIS) with longitudinal outcomes and exposures.
R package for performing p-value assisted subset testing for association.
R package for imputing observed values below the limit of detection in single-pollutant models via censored likelihood multiple imputation.
R package for performing Bayesian mediation analysis in the presence of high-dimensional mediators based on the potential outcome framework.
R package for performing Selection of Nonlinear Interactions by a Forward Stepwise Algorithm.
R package for performing variable selection for multiply imputed data.
R-Package, for integrating external model information into the current regression modeling
