The Proportional Odds Cumulative Incidence Model for Competing Risks

被引：33

作者：

Eriksson, Frank ^{[1
]}

Li, Jianing ^{[2
]}

Scheike, Thomas ^{[1
]}

Zhang, Mei-Jie ^{[2
]}

机构：

[1] Univ Copenhagen, Sect Biostat, DK-1014 Copenhagen, Denmark

[2] Med Coll Wisconsin, Div Biostat, Milwaukee, WI 53226 USA

来源：

BIOMETRICS | 2015年 / 71卷 / 03期

关键词：

Competing risks; Estimating equations; Flexible modeling; Linear transformation model; Odds ratio; Proportional odds model; Semiparametric; Survival; SUBDISTRIBUTION;

D O I：

10.1111/biom.12330

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We suggest an estimator for the proportional odds cumulative incidence model for competing risks data. The key advantage of this model is that the regression parameters have the simple and useful odds ratio interpretation. The model has been considered by many authors, but it is rarely used in practice due to the lack of reliable estimation procedures. We suggest such procedures and show that their performance improve considerably on existing methods. We also suggest a goodness-of-fit test for the proportional odds assumption. We derive the large sample properties and provide estimators of the asymptotic variance. The method is illustrated by an application in a bone marrow transplant study and the finite-sample properties are assessed by simulations.

引用

页码：687 / 695

页数：9

共 20 条

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