Abstract #301185

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JSM 2003 Abstract #301185
Activity Number: 215
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301185
Title: Pairwise Multiple Comparison Adjustment in Survival Analysis
Author(s): Brent R. Logan*+ and Mei-Jie Zhang
Companies: Northwestern University and Medical College of Wisconsin
Address: Division of Biostatistics, Milwaukee, WI, 53226-3548,
Keywords: multiple comparisons ; survival analysis ; weighted log-rank test
Abstract:

When comparing the survival curves of several treatment or prognostic groups, the familywise error rate, or the chance of finding a false significance among all of the comparisons, is inflated above the desired alpha level. Simple Bonferroni multiplicity correction is conservative, because it does not account for correlation among the statistics and because it does not allow for situations where some treatments have clearly different survival curves so that less multiplicity adjustment is needed. To correct for correlation, we derive the joint asymptotic multivariate normal distribution of the pairwise weighted log-rank statistics, and base the multiplicity correction on the maximum Z statistic from this distribution. We also show that simulation of the martingale residuals may be used to estimate the limiting distribution of the maximum pairwise statistic and adjust the comparisons for multiplicity. Finally, we consider stepwise and closed test procedures, and compare several measures of power among the proposed methods of multiplicity adjustment through a simulation study. An example from bone marrow transplantation is used to illustrate the methods.

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