The proportional odds cumulative incidence model for competing risks

TY - JOUR

T1 - The proportional odds cumulative incidence model for competing risks

AU - Eriksson, Frank

AU - Li, Jianing

AU - Scheike, Thomas

AU - Zhang, Mei-Jie

N1 - © 2015, The International Biometric Society.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - 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.

AB - 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.

U2 - 10.1111/biom.12330

DO - 10.1111/biom.12330

M3 - Journal article

C2 - 26013050

SN - 0006-341X

VL - 71

SP - 687

EP - 695

JO - Biometrics

JF - Biometrics

IS - 3

ER -