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Dissertation
Simulation-based comparative performance of survival methods in the case of non-proportional hazards
Authors: --- --- --- --- --- et al.
Year: 2018 Publisher: Liège Université de Liège (ULiège)

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Abstract

A popular choice in cancer research when comparing survival between treatments is to consider the log-rank test. It has been well-established that it is the most powerful non-parametric test to compare survival functions when the hazards are proportional over time. However, in the case of non-proportional hazards, the log-rank test may no longer be optimal. While a number of statistical approaches have been invertigated to compare treatment effects on survival when the hazards are not proportional, they are still underused. This lack of application can be explained by the fact that it is currently unclear which approach should be used to design and analyze studies comparing cancer treatments. In this study, a particular focus is on immunotherapy treatments. The issue of how to compare treatment effects when the hazards are likely non-proportional is of major interest for contemporary cancer research due to the groundbreaking achievements of immunotherapy, which is typically characterized by a delayed treatment effect. The aim of this present master thesis was to compare the classical logrank test and methods designed to deal with non-proportional hazards. We reviewed the statistical properties of different approaches to deal with non-proportional hazards including the logrank test, methods based on the restricted mean survival time, generalized pairwise comparison, weighted log-rank and weighted Kaplan-Meier tests. We also performed an extensive simulation study to investigate their size under various scenarios. Finally, all methods are illustrated on the real EORTC 18991 trial outcome data.

Prognostic factors in cancer
Authors: --- ---
ISBN: 3540586881 3642793959 Year: 1995 Publisher: Berlin Springer


Multi
Prognostic factors, survival and late mortality of patients with Hodgkin's lymphoma : thesis = thèse
Authors: ---
ISBN: 9036711754 Year: 2000 Publisher: Groningen Rijksuniversiteit


Dissertation
In the queue for an organ transplant : studies on waiting list and allocation dynamics : proefschrift
Authors: ---
ISBN: 9090170065 Year: 2003 Publisher: Leiden J. De Meester


Periodical
Journal of cancer survivorship
ISSN: 19322267 19322259

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