Application of multi-stage competing risk model to survival data
10.3760/cma.j.cn112150-20211103-01019
- VernacularTitle:生存数据的多状态竞争风险模型分析方法探索
- Author:
Weiqin LI
1
;
Lei YANG
;
Shengfeng WANG
;
Liwen ZHANG
;
Chao SHENG
;
Yubei HUANG
Author Information
1. 天津市妇女儿童保健中心项目办公室 300070
- Keywords:
Proportional hazards models;
Survival analysis;
Competing risk model
- From:
Chinese Journal of Preventive Medicine
2021;55(12):1524-1529
- CountryChina
- Language:Chinese
-
Abstract:
The traditional proportional hazard model is commonly used to investigate the association between main outcome and predictor variables. However, the endpoints in medical studies are often not unique. The analyses of labeling other competing outcomes other than the main outcome as censored data will theoretically lead to a biased estimate of the risk of main outcome. Although the traditional competitive risk model can adjust the influence of other outcomes on the risk of the main outcome, it can not directly compare the differences on the risks of different outcomes. The multi-state competing risk model provides a relatively suitable solution for this problem. In this study, based on a previously published follow-up data set for prostate cancer patients, we developed traditional proportional hazard model, traditional competitive risk model, and multi-state competing risk model, respectively. By comparing the advantages and disadvantages of the three models with the same survival data, we clarified the clinical application value of the multi-state competitive risk model in survival data with multiple outcomes.
