Regression analysis of interval-censored failure time data with linear transformation models

Zhigang Zhang; Liuquan Sun; Xingqiu Zhao; Jianguo Sun

doi:10.1002/cjs.5540330105

Regression analysis of interval-censored failure time data with linear transformation models

Zhigang Zhang, Liuquan Sun, Xingqiu Zhao, Jianguo Sun

Research output: Journal article publication › Journal article › Academic research › peer-review

62 Citations (Scopus)

Abstract

The authors consider the estimation of regression parameters in the context of a class of generalized proportional hazards models, termed linear transformation models, in the presence of interval-censored data. They present an estimating equation approach whose good performance is demonstrated through simulations and which they illustrate in a few concrete cases.

Original language	English
Pages (from-to)	61-70
Number of pages	10
Journal	Canadian Journal of Statistics
Volume	33
Issue number	1
DOIs	https://doi.org/10.1002/cjs.5540330105
Publication status	Published - 1 Jan 2005
Externally published	Yes

Keywords

Covariate effects
Interval-censored failure time data
Linear transformation models
Semiparametric regression

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

More information

10.1002/cjs.5540330105

Cite this

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abstract = "The authors consider the estimation of regression parameters in the context of a class of generalized proportional hazards models, termed linear transformation models, in the presence of interval-censored data. They present an estimating equation approach whose good performance is demonstrated through simulations and which they illustrate in a few concrete cases.",

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KW - Semiparametric regression

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Regression analysis of interval-censored failure time data with linear transformation models

Abstract

Keywords

ASJC Scopus subject areas

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