Literature DB >> 18240021

Checking the linear transformation model for clustered failure time observations.

Satoshi Hattori1.   

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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Year:  2008        PMID: 18240021     DOI: 10.1007/s10985-008-9082-4

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  1 in total

1.  A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data.

Authors:  Chyong-Mei Chen; Chang-Yung Yu
Journal:  Lifetime Data Anal       Date:  2011-10-09       Impact factor: 1.588

  1 in total

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