Interpretation of exposure effect in competing risks setting under accelerated failure time models
Background & Aim: In survival studies, incidence of competing risks causes that the time of event of interest to be unknown. Analysis of competing risk data, often implemented using hazard-based method under proportional hazard assumption. In this study, we interpreted covariate effect under ac...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Tehran University of Medical Sciences
2018-10-01
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Series: | Journal of Biostatistics and Epidemiology |
Subjects: | |
Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/184 |