Pair Chart Test for an Early Survival Difference
Authors: Guosheng Yin1; Donglin Zeng2
Source: Lifetime Data Analysis, Volume 11, Number 1, March 2005 , pp. 117-129(13)
Publisher: Springer
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- In this Subject: Biology , Mathematics and Statistics
- By this author: Guosheng Yin ; Donglin Zeng
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Abstract:
The log-rank test is commonly used in comparing survival distributions between treatment and control groups in clinical trials. However, in many studies, the treatment is only effective at the early stage of the trial. Especially when the two survival curves cross, the log-rank test has a low statistical power to show the survival difference. We propose a test statistic for detecting such an early difference between the two treatment arms. The new test has an intuitive geometric interpretation based on a pair chart and is shown to have more power than the log-rank test when the treatment effect only appears in the early phase of the study. This advantage is evaluated for finite sample sizes in simulation studies. Finally, the proposed method is illustrated with a real data example of patients with gastric cancer.Keywords: early treatment effect; log-rank test; pair chart statistic; survival comparison
Document Type: Research article
DOI: 10.1007/s10985-004-5643-3
Affiliations: 1: Department of Biostatistics, M. D. Anderson Cancer Center, The University of Texas, Texas, USA, Email: gyin@odin.mdacc.tmc.edu 2: Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, USA, Email: dzeng@bios.unc.edu
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