Bayesian two-sample survival probability curves with comparative summary measures and sensitivity analyses.
Two-sample survival probability curves (TSSPCs) provide a concise way to visualize treatment differences in randomized controlled trials (RCTs). In this paper, we propose various area under the curve (AUC) metrics for TSSPCs as numerical measures for treatment effects. First, in the same spirit as the restricted mean s...