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Checking the linear transformation model for clustered failure time observations

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Abstract

The linear transformation model is a semiparametric model which contains the Cox proportional hazards model and the proportional odds model as special cases. Cai et al. (Biometrika 87:867–878, 2000) have proposed an inference procedure for the linear transformation model with correlated censored observations. In this article, we develop formal and graphical model checking techniques for the linear transformation models based on cumulative sums of martingale-type residuals. The proposed method is illustrated with a clinical trial data.

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Authors and Affiliations

  1. The Biostatistics Center, Kurume University, 67 Asahi-Machi, Kurume City, Fukuoka, 830-0011, Japan

    Satoshi Hattori

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  1. Satoshi Hattori
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Correspondence to Satoshi Hattori.

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Hattori, S. Checking the linear transformation model for clustered failure time observations. Lifetime Data Anal 14, 253–266 (2008). https://doi.org/10.1007/s10985-008-9082-4

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  • DOI: https://doi.org/10.1007/s10985-008-9082-4

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