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Long-term survival with non-proportional hazards discussed

Published in Gastroenterology Week, November 21st, 2005

Scientists discussed ways of analyzing survival data that do not obey the proportional hazards assumption.

"Randomized clinical trials with long-term survival data comparing two treatments often show Kaplan-Meier plots with crossing survival curves. Such behavior 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," researchers in the Netherlands reported.

"In this paper we analyze long-term follow-up data from the Dutch Gastric Cancer Trial, a randomized study comparing...

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