Y. Tan

Bayesian variable selection on small sample trial data via adaptive posterior-informed shrinkage prior.

Identifying variables associated with clinical endpoints is a central objective in clinical trials. With the rapid expansion of cell and gene therapies (CGTs) and therapeutics for ultra-rare diseases, there is an urgent demand for statistical methods capable of detecting meaningful associations under severe sample-size...