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stat.CO2026
SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
Haim Bar, Martin T. Wells
SEMMS (Scalable Empirical-Bayes Model for Marker Selection) is a variable-selection procedure for generalized linear models that uses a three-component normal mixture prior on regr…
stat.CO2025
COMBO and COMMA: R packages for regression modeling and inference in the presence of misclassified binary mediator or outcome variables
Kimberly A. Hochstedler Webb, Martin T. Wells
Misclassified binary outcome or mediator variables can cause unpredictable bias in resulting parameter estimates. As more datasets that were not originally collected for research p…