JSM 2005 - Toronto

Abstract #304303

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Activity Number: 100
Type: Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #304303
Title: Hypothesis Testing for Current Leukemia-free Survival
Author(s): Leiyan Lu*+ and John P. Klein
Companies: Medical College of Wisconsin and Medical College of Wisconsin
Address: Division of Biostatistics, Milwaukee, WI, 53226, United States
Keywords: Current Leukaemia-Free Survival ; Resampling Technique ; Kolmogorov-Smirnov Statistic ; Martingale Theory ; Permutation Test ; Pseudo-value Methods
Abstract:

Relapse after allogeneic bone marrow transplant for patients with leukemia was looked on as a failure of the treatment. In recent years, donor lymphocyte infusion (DLI) has been used to take care of the patients who relapse and to induce a second remission. Of clinical interest is the probability that a patient is alive and leukemia-free at a given time point after the transplant with or without DLI. This probability is called the current leukemia-free survival probability (CLFS). In this study, we focus on the two-sample hypothesis testing of CLFS. Klein (2000) introduced a linear combination of three survival curves as an estimator of CLFS. Based on this estimator, we construct test statistics to compare the CLFSs between two groups of patients. The first type of tests is based on the resampling technique proposed by Lin and Wei (1994). A Kolmogorov-Smirnov type statistic and a weighted integral of CLFS difference are considered. The second type of tests consist of standardized test statistics of the first type. For the weighted integral test statistic, Pepe (1991) presented a moment type variance test.

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Revised March 2005