Clinical Trials

Practical guidance on modeling choices for the virtual twins method

Individuals can vary drastically in their response to the same treatment, and this heterogeneity has driven the push for more personalized medicine. Accurate and interpretable methods to identify subgroups that respond to the treatment differently …

A Permutation Procedure to Detect Heterogeneous Treatment Effects in Randomized Clinical Trials While Controlling the Type I Error Rate

A permutation procedure to detect heterogeneous treatment effects in randomized clinical trials while controlling the type I error rate

Secondary analyses of randomized clinical trials often seek to identify subgroups with differential treatment effects. These discoveries can help guide individual treatment decisions based on patient characteristics and identify populations for which …