Unknown

Dataset Information

0

Sample size calculation for randomized selection trials with a time-to-event endpoint and a margin of practical equivalence.


ABSTRACT: Selection trials are used to compare potentially active experimental treatments without a control arm. While sample size calculation methods exist for binary endpoints, no such methods are available for time-to-event endpoints, even though these are ubiquitous in clinical trials. Recent selection trials have begun using progression-free survival as their primary endpoint, but have dichotomized it at a specific time point for sample size calculation and analysis. This changes the clinical question and may reduce power to detect a difference between the arms. In this article, we develop the theory for sample size calculation in selection trials where the time-to-event endpoint is assumed to follow an exponential or Weilbull distribution. We provide a free web application for sample size calculation, as well as an R package, that researchers can use in the design of their studies.

SUBMITTER: Dehbi HM 

PROVIDER: S-EPMC9544500 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sample size calculation for randomized selection trials with a time-to-event endpoint and a margin of practical equivalence.

Dehbi Hakim-Moulay HM   Embleton-Thirsk Andrew A   McCaw Zachary Ryan ZR  

Statistics in medicine 20220610 20


Selection trials are used to compare potentially active experimental treatments without a control arm. While sample size calculation methods exist for binary endpoints, no such methods are available for time-to-event endpoints, even though these are ubiquitous in clinical trials. Recent selection trials have begun using progression-free survival as their primary endpoint, but have dichotomized it at a specific time point for sample size calculation and analysis. This changes the clinical questio  ...[more]

Similar Datasets

| S-EPMC7106856 | biostudies-literature
| S-EPMC9863799 | biostudies-literature
| S-EPMC6267841 | biostudies-literature
| S-EPMC8962918 | biostudies-literature
| S-EPMC8351402 | biostudies-literature
| S-EPMC8284614 | biostudies-literature