An illness-death process with time-dependent covariates.
A general model for the illness-death stochastic process with covariates has been developed for the analysis of survival data. This model incorporates important baseline and time-dependent covariates in order to make an appropriate adjustment for the transition and survival probabilities. The follow-up period is subdivided into small intervals and a constant hazard is assumed for each interval. An approximation formula is derived to estimate the transition parameters when the exact transition time is unknown. The method developed is illustrated with data from a study on the prevention of the recurrence of a myocardial infarction and subsequent mortality, the Beta-Blocker Heart Attack Trial (BHAT). This method provides an analytical approach with which the effectiveness of the treatment can be compared between the placebo and propranolol treatment groups with respect to fatal and nonfatal events simultaneously.
Chiang
Y K
YK
University of Texas Health Science Center, Houston, School of Public Health 77225.
Hardy
R J
RJ
Hawkins
C M
CM
Kapadia
A S
AS
D001699:Biometry / Q000379:methods*; D002986:Clinical Trials as Topic; D006801:Humans; D015233:Models, Statistical; D009017:Morbidity; D009026:Mortality; D009203:Myocardial Infarction / Q000453:epidemiology / Q000401:mortality / Q000517:prevention & control; D011433:Propranolol / Q000627:therapeutic use; D013269:Stochastic Processes
D011433:Propranolol