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Testing the proportional odds model under random censoring

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  • Jean-Yves Dauxois

Abstract

In practical applications, it is not uncommon for the hazard functions of two groups to converge with time. One approach that allows for converging hazard functions is the proportional odds model. We develop a procedure for testing the proportional odds assumption when the available data consist of two independent random samples of randomly right-censored lifetimes. Asymptotic normality of the test statistic is proved and the procedure is applied to two well-known datasets. The effective significance level and power of the proposed test are assessed through a simulation study. Copyright Biometrika Trust 2003, Oxford University Press.

Suggested Citation

  • Jean-Yves Dauxois, 2003. "Testing the proportional odds model under random censoring," Biometrika, Biometrika Trust, vol. 90(4), pages 913-922, December.
    • Handle: RePEc:oup:biomet:v:90:y:2003:i:4:p:913-922
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    Cited by:

    1. Yuan Mengdie & Diao Guoqing, 2014. "Semiparametric Odds Rate Model for Modeling Short-Term and Long-Term Effects with Application to a Breast Cancer Genetic Study," The International Journal of Biostatistics, De Gruyter, vol. 10(2), pages 231-249, November.

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