| Literature DB >> 16134134 |
H Putter1, M Sasako, H H Hartgrink, C J H van de Velde, J C van Houwelingen.
Abstract
Randomized clinical trials with long-term survival data comparing two treatments often show Kaplan-Meier plots with crossing survival curves. Such behaviour implies a violation of the proportional hazards assumption for treatment. The Cox proportional hazards regression model with treatment as a fixed effect can therefore not be used to assess the influence of treatment of survival. In this paper we analyse long-term follow-up data from the Dutch Gastric Cancer Trial, a randomized study comparing limited (D1) lymph node dissection with extended (D2) lymph node dissection. We illustrate a number of ways of dealing with survival data that do not obey the proportional hazards assumption, each of which can be easily implemented in standard statistical packages. Copyright 2005 John Wiley & Sons, Ltd.Entities:
Mesh:
Year: 2005 PMID: 16134134 DOI: 10.1002/sim.2143
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373