Predicting Survival With Disease Progression as a Time-dependent Covariate in Proportional Hazards Model
Date Issued
2009
Date
2009
Author(s)
Yang, Chu-Yen
Abstract
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.
Subjects
disease progression
prediction
proportional hazards model
time-dependent covariate
Type
thesis
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