Repeated assessment of risk factors in survival analysis.
Regression models for survival data with time-dependent covariates are considered. We review estimation in the Cox regression model and discuss problems in connection with data requirements for the analysis, with interpretation of results and with prediction based on such a model. In particular, we discuss how the latter problems may be approached within an extended (Markov process) model. A clinical trial in liver cirrhosis is used for illustration.
Andersen
P K
PK
Statistical Research Unit, University of Copenhagen, Denmark.
D002986:Clinical Trials as Topic / Q000379:methods; D006801:Humans; D008103:Liver Cirrhosis / Q000188:drug therapy / Q000401:mortality; D008390:Markov Chains; D012044:Regression Analysis; D012307:Risk Factors; D016019:Survival Analysis