Practical problems in fitting a proportional hazards model to data with udated measurements of the covariates
- 28 February 1994
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 13 (4) , 301-341
- https://doi.org/10.1002/sim.4780130402
Abstract
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.Keywords
This publication has 98 references indexed in Scilit:
- Goodness-of-Fit Analysis for the Cox Regression Model Based on a Class of Parameter EstimatorsJournal of the American Statistical Association, 1991
- Clinical Features of Adrenocortical Carcinoma, Prognostic Factors, and the Effect of Mitotane TherapyNew England Journal of Medicine, 1990
- Martingale-based residuals for survival modelsBiometrika, 1990
- A Graphical Method for Assessing Goodness of Fit in Cox's Proportional Hazards ModelJournal of the American Statistical Association, 1988
- Diagnostic plots for departures from proportional hazards in cohort study dataJournal of Chronic Diseases, 1987
- Influence functions for proportional hazards regressionBiometrika, 1985
- A Diagnostic for Cox Regression and General Conditional LikelihoodsJournal of the American Statistical Association, 1985
- A Reanalysis of the Stanford Heart Transplant DataJournal of the American Statistical Association, 1983
- The Incidence of Monotone Likelihood in the Cox ModelTechnometrics, 1981
- Covariance Analysis of Heart Transplant Survival DataJournal of the American Statistical Association, 1977