Testing the proportional hazards assumption in case-cohort analysis

2013166 citationsJournal Articlegold Open Access

Authors

Xiaonan Xue · Albert Einstein College of Medicine

Xianhong Xie · Albert Einstein College of Medicine

Marc J. Gunter · Imperial College London

Thomas E. Rohan · Albert Einstein College of Medicine

Sylvia Wassertheil‐Smoller · Albert Einstein College of Medicine

Gloria Y. F. Ho · Albert Einstein College of Medicine

Dominic J. Cirillo

Abstract

The proposed correlation tests provide a simple and accurate approach for testing the proportional hazards assumption of Cox models in case-cohort analysis. Evaluation of the proportional hazards assumption is essential since its violation raises questions regarding the validity of Cox model results which, if unrecognized, could result in the publication of erroneous scientific findings.

Topics & Keywords

Genetic Associations and Epidemiology Folate and B Vitamins Research BRCA gene mutations in cancer

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: BMC Medical Research Methodology

Volume 13, Issue 1, pp. 88-88

DOI: 10.1186/1471-2288-13-88

Field-Weighted Citation Impact: 2.32