科研之友
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摘要
Case-cohort design usually requires the disease rate to be low in large cohort study, although it has been extensively used in practice. However, the disease with high rate is frequently observed in many clinical studies. Under such circumstances, it is desirable to consider a generalized case-cohort design, where only a fraction of cases are sampled. In this article, we propose the inference procedure for the additive hazards regression under the generalized case-cohort sampling. Asymptotic properties of the proposed estimators for the regression coefficients are established. To demonstrate the effectiveness of the generalized case-cohort sampling, we compare it with simple random sampling in terms of asymptotic relative efficiency. Furthermore, we derive the optimal allocation of the subsamples for the proposed design. The finite sample performance of the proposed method is evaluated through simulation studies.
