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

Kim M. Jachno, Stephane Heritier, Robyn L. Woods, Suzanne Mahady, Andrew Chan, Andrew Tonkin, Anne Murray, John J. McNeil & Rory Wolfe
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 methods has been called into question. The availability of novel therapies with new mechanisms of action and clinical trials of longer duration mean that non-proportional hazards are now more frequently encountered. Methods We compared several...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.