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Extension of Mood’s median test for survival data

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  • Chen, Zhongxue

Abstract

Mood’s median test for testing the equality of medians is a nonparametric approach, which has been widely used for uncensored data in practice. For survival data, many nonparametric methods have been proposed to test for the equality of survival curves. However, if the survival medians, rather than the curves, are compared, those methods are not applicable. Some approaches have been developed to fill this gap. Unfortunately, in general those tests have inflated type I error rates, which make them inapplicable to survival data with small sample sizes. In this paper, Mood’s median test for uncensored data is extended for survival data. The results from a comprehensive simulation study show that the proposed test outperforms existing methods in terms of controlling type I error rate and detecting power.

Suggested Citation

  • Chen, Zhongxue, 2014. "Extension of Mood’s median test for survival data," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 77-84.
    • Handle: RePEc:eee:stapro:v:95:y:2014:i:c:p:77-84
    DOI: 10.1016/j.spl.2014.08.006
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    References listed on IDEAS

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    1. Zhongxue Chen & Hon Ng & Saralees Nadarajah, 2014. "A note on Cochran test for homogeneity in one-way ANOVA and meta-analysis," Statistical Papers, Springer, vol. 55(2), pages 301-310, May.
    2. Shaowu Tang & Jong-Hyeon Jeong, 2012. "Median Tests for Censored Survival Data; a Contingency Table Approach," Biometrics, The International Biometric Society, vol. 68(3), pages 983-989, September.
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    Cited by:

    1. Kühnel, Konstantin & Schütte, Philip & Bach, Vanessa & Franken, Gudrun & Finkbeiner, Matthias, 2023. "Correlation analysis of country governance indicators and the magnitude of environmental and social incidents in mining," Resources Policy, Elsevier, vol. 85(PA).

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