Comparing Cox and parametric models in clinical studies

Parametric models are only occasionally used in the analysis of clinical studies of survival although they may offer advantages over Cox's model. In this paper, we report experiences that we have made fitting parametric models to data sets from different clinical trials mainly performed at the Vienna University Medical School. We emphasize the role of residuals for discriminating among candidate models and judging their goodness of fit. The effect of misspecification of the baseline distribution on parameter estimates and testing has been explored. The results from parametric analyses have always been contrasted with those from Cox's model.

[1]  M Schemper,et al.  A note on quantifying follow-up in studies of failure time. , 1996, Controlled clinical trials.

[2]  B. Efron The Efficiency of Cox's Likelihood Function for Censored Data , 1977 .

[3]  David R. Cox,et al.  Regression models and life tables (with discussion , 1972 .

[4]  H. Heinzl,et al.  Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions. , 1997, Computer methods and programs in biomedicine.

[5]  P. Grambsch,et al.  Proportional hazards tests and diagnostics based on weighted residuals , 1994 .

[6]  J. Kalbfleisch,et al.  The Statistical Analysis of Failure Time Data , 1980 .

[7]  Jerald F. Lawless,et al.  Parametric Models in Survival Analysis , 2005 .

[8]  T M Therneau,et al.  Diagnostic plots to reveal functional form for covariates in multiplicative intensity models. , 1995, Biometrics.

[9]  D. Cox,et al.  A General Definition of Residuals , 1968 .

[10]  Laurence L. George,et al.  The Statistical Analysis of Failure Time Data , 2003, Technometrics.

[11]  R. Gelber,et al.  Parametric extrapolation of survival estimates with applications to quality of life evaluation of treatments. International Breast Cancer Study Group. , 1993, Controlled clinical trials.

[12]  D. Cox Tests of Separate Families of Hypotheses , 1961 .

[13]  D. Oakes,et al.  The asymptotic information in censored survival data , 1977 .

[14]  M. Muers,et al.  Prognosis in lung cancer: physicians' opinions compared with outcome and a predictive model. , 1996, Thorax.

[15]  David A. Schoenfeld,et al.  Partial residuals for the proportional hazards regression model , 1982 .

[16]  M Schemper,et al.  New Residuals for Cox Regression and Their Application to Outlier Screening , 1999, Biometrics.

[17]  K R Hess,et al.  Assessing time-by-covariate interactions in proportional hazards regression models using cubic spline functions. , 1994, Statistics in medicine.

[18]  D. Cox Regression Models and Life-Tables , 1972 .