Asymptotic distribution theory and efficiency results for case-cohort studies. (English) Zbl 0666.62108

Self, Steven G.; Prentice, Ross L.

Ann. Stat. 16, No. 1, 64-81 (1988).

R. L. Prentice [Biometrika 73, 1-11 (1986; Zbl 0595.62111)] proposed case-cohort designs as a means of reducing cost in large epidemiologic cohort studies. A “pseudolikelihood” procedure is developed for relative risk regression parameter estimation. This procedure involves covariate data only on subjects who develop disease and on a random subset of the entire cohort. Asymptotic distribution theory for such pseudolikelihood estimators is presented.

MSC:

62P10	Applications of statistics to biology and medical sciences; meta analysis
62E20	Asymptotic distribution theory in statistics
62G05	Nonparametric estimation

Keywords:

counting process; Cox regression; time-dependent covariates; case-cohort designs; large epidemiologic cohort studies; relative risk regression parameter estimation; pseudolikelihood estimators

Citations:

Zbl 0595.62111