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

66 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

@article{bb2efec955cf41f1b30c0235bd0e03f1,

title = "Regression analysis of interval-censored failure time data with linear transformation models",

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.",

keywords = "Covariate effects, Interval-censored failure time data, Linear transformation models, Semiparametric regression",

author = "Zhigang Zhang and Liuquan Sun and Xingqiu Zhao and Jianguo Sun",

year = "2005",

month = jan,

day = "1",

doi = "10.1002/cjs.5540330105",

language = "English",

volume = "33",

pages = "61--70",

journal = "Canadian Journal of Statistics",

issn = "0319-5724",

publisher = "Wiley-Blackwell",

number = "1",

}

TY - JOUR

T1 - Regression analysis of interval-censored failure time data with linear transformation models

AU - Zhang, Zhigang

AU - Sun, Liuquan

AU - Zhao, Xingqiu

AU - Sun, Jianguo

PY - 2005/1/1

Y1 - 2005/1/1

N2 - 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.

AB - 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.

KW - Covariate effects

KW - Interval-censored failure time data

KW - Linear transformation models

KW - Semiparametric regression

UR - https://www.scopus.com/pages/publications/18444399293

U2 - 10.1002/cjs.5540330105

DO - 10.1002/cjs.5540330105

M3 - Journal article

SN - 0319-5724

VL - 33

SP - 61

EP - 70

JO - Canadian Journal of Statistics

JF - Canadian Journal of Statistics

IS - 1

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this