Maximum likelihood estimation for Cox’s regression model under case-cohort sampling. (English) Zbl 1060.62111

Scheike, Thomas; Martinussen, Torben

Scand. J. Stat. 31, No. 2, 283-299 (2004).

In the Prentice case-cohort design right censored survival times and censoring indicators are observed for all samples (cohorts) whence the covariate values are known only in cases for which the survival time was not censored and for a random sub-sample (sub-cohort) from cases with censored survival times. A typical example is an epidemiological study at which the covariates are observed for all ill persons and for a control group of healthy persons.
Cox’s regression model is considered for the effect of covariates. A maximum likelihood estimator for the regression coefficients is described and an EM-type algorithm is proposed for the computation of this estimator. The obtained estimator is compared with the estimators proposed by S. G. Self and R. L. Prentice [Ann. Stat. 16, No. 1, 64–81 (1988; Zbl 0666.62108)] and K. Chen and S.-H. Lo [Biometrika 86, No. 4, 755–764 (1999; Zbl 0940.62108)]. Simulation results are presented.

Reviewer: R. E. Maiboroda (Kyïv)

MSC:

62N02	Estimation in survival analysis and censored data
65C60	Computational problems in statistics (MSC2010)
62N01	Censored data models
62P10	Applications of statistics to biology and medical sciences; meta analysis

Keywords:

Prentice case-cohort design; covariates; EM-algorithm

Citations:

Zbl 0666.62108; Zbl 0940.62108

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