Bayesian Shrinkage Versus Frequentist Variable Selection in Small-Sample Translational Research: A Monte Carlo Simulation Study Grounded in Regenerative Medicine Biomarker Discovery
Introduction. Observational studies in regenerative medicine represent a promising frontier for the discovery of predictive biomarkers of therapeutic response, yet are structurally constrained by small sample sizes. This low-sample-size regime exposes variable selection methods to a high risk of overfitting and false d...