Using covariate-specific disease prevalence information to increase the power of case-control studies

Jing Qin, Han Zhang, Pengfei Li, Demetrius Albanes and Kai Yu

Biometrika, 2015, vol. 102, issue 1, 169-180

Abstract: Public registration databases and large cohort studies provide vital information on disease prevalence at various levels of a risk factor. This auxiliary information can be helpful in conducting statistical inference in a new study. We aim to develop a statistical procedure that improves the efficiency of the logistic regression model for a case-control study by utilizing auxiliary information on covariate-specific disease prevalence via a series of unbiased estimating equations. We adopt empirical likelihood for statistical inference, and demonstrate its advantages through simulation and an application.

Date: 2015
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Citations: View citations in EconPapers (9)

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