论文信息 - Computing the Cox Model for Case Cohort Designs

Computing the Cox Model for Case Cohort Designs

Prentice (1986) proposed a case-cohort design as an efficient subsampling mechanism for survival studies. Several other authors have expanded on these ideas to create a family of related sampling plans, along with estimators for the covariate effects. We describe how to obtain the proposed parameter estimates and their variance estimates using standard software packages, with SAS and SPLUS as particular examples.

T M Therneau | H Li | T. Therneau | Hongzhe Li | Hongzhe Li

[1] Steven G. Self,et al. Asymptotic Distribution Theory and Efficiency Results for Case-Cohort Studies , 1988 .

[2] T. Therneau,et al. Prevention of venous thromboembolism in patients with spinal cord injury: effects of sequential pneumatic compression and heparin. , 1999, The journal of spinal cord medicine.

[3] David A. Binder,et al. Fitting Cox's proportional hazards models from survey data , 1992 .

[4] W. Barlow,et al. Robust variance estimation for the case-cohort design. , 1994, Biometrics.

[5] S R Lipsitz,et al. Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data. , 1994, Biometrics.

[6] Z. Ying,et al. Cox Regression with Incomplete Covariate Measurements , 1993 .

[7] L. J. Wei,et al. The Robust Inference for the Cox Proportional Hazards Model , 1989 .

[8] Danyu Lin,et al. On fitting Cox's proportional hazards models to survey data , 2000 .

[9] R. L. Prentice,et al. A case-cohort design for epidemiologic cohort studies and disease prevention trials , 1986 .

[10] Nancy Reid,et al. Influence functions for proportional hazards regression , 1985 .

[11] N. Lange,et al. Approximate case influence for the proportional hazards regression model with censored data. , 1984, Biometrics.

[12] P. Grambsch,et al. Martingale-based residuals for survival models , 1990 .