Practical problems in fitting a proportional hazards model to data with updated measurements of the covariates.
We review and discuss the practical problems encountered when analysing the effect on survival of covariates which are measured repeatedly over time. Specific issues arise over and above those met with the standard proportional hazards model and concern all stages of data preparation, data analysis and interpretation of the results. Data from a randomized clinical trial of patients with primary biliary cirrhosis, on whom several measurements were taken at regular intervals after entry, are presented as an illustration.
Altman
D G
DG
Medical Statistics Laboratory, Imperial Cancer Research Fund, Lincoln's Inn Fields, London, U.K.
De Stavola
B L
BL
D000368:Aged; D000704:Analysis of Variance; D001379:Azathioprine / Q000627:therapeutic use; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D004311:Double-Blind Method; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008105:Liver Cirrhosis, Biliary / Q000188:drug therapy / Q000401:mortality; D008297:Male; D008432:Mathematical Computing; D008875:Middle Aged; D016016:Proportional Hazards Models; D012984:Software; D016019:Survival Analysis
D001379:Azathioprine