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Cited by 453

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Analysis of transformation models with censored data

CHENG, S. C., WEI, L. J., YING, Z.·1995·Biometrika

Abstract

In this paper we consider a class of semi-parametric transformation models, under which an unknown transformation of the survival time is linearly related to the covariates with various completely specified error distributions. This class of regression models includes the proportional hazards and proportional odds models. Inference procedures derived from a class of generalised estimating equations are proposed to examine the covariate effects with censored observations. Numerical studies are conducted to investigate the properties of our proposals for practical sample sizes. These transformation models, coupled with the new simple inference procedures, provide many useful alternatives to the Cox regression model in survival analysis.

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Metadata

Authors
CHENG, S. C., WEI, L. J., & YING, Z.
Venue
Biometrika
Published
1995
Volume
82
Issue
4
Pages
835-845
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W1997427494
Cited by
453
References
1
FWCI
3.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis of transformation models with censored data. https://app.cochat.ai/papers/10.1093/biomet/82.4.835
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CHENG, S. C., WEI, L. J., & YING, Z. (1995). Analysis of transformation models with censored data. Biometrika. https://doi.org/10.1093/biomet/82.4.835

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