Examining evidence of time-dependent treatment effects: an illustration using regression methods

Examining evidence of time-dependent treatment effects: an illustration using regression methods

Abstract Background For the design and analysis of clinical trials with time-to-event outcomes, the Cox proportional hazards model and the logrank test have been the cornerstone methods for many decades. Increasingly, the key assumption of proportionality—or time-fixed effects—that underpins these m...

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Bibliographic Details
Main Authors: Kim M. Jachno, Stephane Heritier, Robyn L. Woods, Suzanne Mahady, Andrew Chan, Andrew Tonkin, Anne Murray, John J. McNeil, Rory Wolfe
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Trials
Subjects:
Time-dependent effects
Proportional hazards
Clinical trials
Flexible parametric modelling
Treatment effect heterogeneity
Online Access:https://doi.org/10.1186/s13063-022-06803-x

Internet

https://doi.org/10.1186/s13063-022-06803-x

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