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- Publisher
- Oxford University Press
- Copyright
- © 1995 Biometrika Trust
- ISSN
- 0006-3444
- eISSN
- 1464-3510
- DOI
- 10.1093/biomet/82.4.835
- Publisher site
- See Article on Publisher Site
Abstract
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. This content is only available as a PDF. © 1995 Biometrika Trust
Journal
Biometrika – Oxford University Press
Published: Dec 1, 1995