Subgroup analysis and adaptive experiments crave for debiasing

Results obtained from reliably designed randomized experiments are often considered to be evidence of the highest grade for assessing effectiveness biomedical or behavioral interventions. Nevertheless, even with experiments, statistical bias can arise in post hoc analysis data through adaptive collection. In this article, we discuss need and review some recent developments methodologies address issue potential subgroup analysis. For focus on treatment assignments. analysis, selection several frequentist approaches debiased inference best-selected effects. This article is categorized under: Applications Computational Statistics > Clinical Trials