Predicting Survival With Disease Progression as a Time-dependent Covariate in Proportional Hazards Model

• Main Authors: Chu-Yen Yang, 楊竺諺
• Other Authors: Shu-Hui Chang
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/83166543431579314989

碩士 === 國立臺灣大學 === 流行病學研究所 === 97 === In many clinical trials and medical studies, the course of disease for each individual is monitored during the follow-up period. Information of disease progression including the occurrence of events and biological markers associated with the development of disease as well as its death is often collected in the study. Proportional hazards models incorporating the information of disease progression as time-dependent covariates are frequently used to investigate the effect of disease progression on survival. Here we extend Xu and O’Quigley’s approach to predict the probability of subsequent survival given the past information of disease progression under such time-dependent covariate model. The performance of proposed approach is evaluated by a simulation study.