The Accelerated Failure Time Model Under Biased Sampling

被引：20

作者：

Mandel, Micha ^{[1
]}

Ritov, Ya'akov ^{[1
]}

机构：

[1] Hebrew Univ Jerusalem, IL-91905 Jerusalem, Israel

来源：

BIOMETRICS | 2010年 / 66卷 / 04期

基金：

以色列科学基金会;

关键词：

Length bias; Size bias; Survival; Weighted distribution; HAZARDS REGRESSION;

D O I：

10.1111/j.1541-0420.2009.01366_1.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Chen (2009, Biometrics) studies the semi-parametric accelerated failure time model for data that are size biased. Chen considers only the uncensored case and uses hazard-based estimation methods originally developed for censored observations. However, for uncensored data, a simple linear regression on the log scale is more natural and provides better estimators.

引用

页码：1306 / 1308

页数：3

共 5 条

[1] Covariate bias induced by length-biased sampling of failure times [J].