Further Practical Guidance on Adjusting Time-To-Event Outcomes for Treatment Switching.

ABSTRACT: The objective of this article is to bring together the key current information on practical considerations when conducting statistical analyses adjusting long-term outcomes for treatment switching, combining it with learnings from our own experience, thus providing a useful reference tool for analysts. When patients switch from their randomised treatment to another therapy that affects a subsequently observed outcome such as overall survival, there may be interest in estimating the treatment effect under a hypothetical scenario without the intercurrent event of switching. We describe the theory and provide guidance on how and when to conduct analyses using three commonly used complex approaches: rank preserving structural failure time models (RPSFTM), two-stage estimation (TSE), and invers

SUBMITTER: Watkins C 

PROVIDER: S-EPMC12181803 | biostudies-literature | 2025 Jul-Aug

REPOSITORIES: biostudies-literature