Sample size formula for proportional hazards modelling of competing risks
- 18 October 2004
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 23 (21), 3263-3274
- https://doi.org/10.1002/sim.1915
Abstract
To test the effect of a therapeutic or prognostic factor on the occurrence of a particular cause of failure in the presence of other causes, the interest has shifted in some studies from the modelling of the cause-specific hazard to that of the subdistribution hazard. We present approximate sample size formulas for the proportional hazards modelling of competing risk subdistribution, considering either independent or correlated covariates. The validity of these approximate formulas is investigated through numerical simulations. Two illustrations are provided, a randomized clinical trial, and a prospective prognostic study. Copyright © 2004 John Wiley & Sons, Ltd.Keywords
This publication has 24 references indexed in Scilit:
- Host defense and inflammatory gene polymorphisms are associated with outcomes after HLA-identical sibling bone marrow transplantationBlood, 2002
- Induction of labour with a viable infant: a randomised clinical trial comparing intravaginal misoprostol and intravaginal dinoprostoneBJOG: An International Journal of Obstetrics and Gynaecology, 2001
- Regression modeling of competing crude failure probabilitiesBiostatistics, 2001
- A Proportional Hazards Model for the Subdistribution of a Competing RiskJournal of the American Statistical Association, 1999
- Inference for Events with Dependent Risks in Multiple Endpoint StudiesJournal of the American Statistical Association, 1991
- A Class of $K$-Sample Tests for Comparing the Cumulative Incidence of a Competing RiskThe Annals of Statistics, 1988