Which test for crossing survival curves? A user's guideline.

ABSTRACT:

Background

The exchange of knowledge between statisticians developing new methodology and clinicians, reviewers or authors applying them is fundamental. This is specifically true for clinical trials with time-to-event endpoints. Thereby, one of the most commonly arising questions is that of equal survival distributions in two-armed trial. The log-rank test is still the gold-standard to infer this question. However, in case of non-proportional hazards, its power can become poor and multiple extensions have been developed to overcome this issue. We aim to facilitate the choice of a test for the detection of survival differences in the case of crossing hazards.

Methods

We restricted the review to the most recent two-armed clinical oncology trials with crossing survival curves.

SUBMITTER: Dormuth I 

PROVIDER: S-EPMC8802494 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature