Bayesian inference for a principal stratum estimand to assess the treatment effect in a subgroup characterized by post-randomization events

• Published in: arXiv.org
• Main Authors: Magnusson, Baldur P, Schmidli, Heinz, Rouyrre, Nicolas, Scharfstein, Daniel O
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 11.09.2018
• Subjects: Bayesian analysis; Medical research; Multiple sclerosis; Patients; Population (statistical); Randomization; Sensitivity analysis; Statistical inference; Stratification; Subgroups

The treatment effect in a specific subgroup is often of interest in randomized clinical trials. When the subgroup is characterized by the absence of certain post-randomization events, a naive analysis on the subset of patients without these events may be misleading. The principal stratification fram...