Journal
STATISTICS IN MEDICINE
Volume 26, Issue 24, Pages 4505-4519Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.2864
Keywords
generalized linear models; pseudo-value approach; variance stabilizing transformation; Kaplan-Meier estimators; censored data
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Funding
- NCI NIH HHS [R01 CA54706-10] Funding Source: Medline
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A common problem encountered in many medical applications is the comparison of survival curves. Often, rather than comparison of the entire survival curves, interest is focused on the comparison at a fixed point in time. In most cases, the naive test based on a difference in the estimates of survival is used for this comparison. In this note, we examine the performance of alternatives to the naive test. These include tests based on a number of transformations of the survival function and a test based on a generalized linear model for pseudo-observations. The type I errors and power of these tests for a variety of sample sizes are compared by a Monte Carlo study. We also discuss how these tests may be extended to situations where the data are stratified. The pseudo-value approach is also applicable in more detailed regression analysis of the survival probability at a fixed point in time. The methods are illustrated on a study comparing survival for autologous and allogeneic bone marrow transplants. Copyright (C) 2007 John Wiley & Sons, Ltd.
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