Using covariate-specific disease prevalence information to increase the power of case-control studies
Open Access
- 2 December 2014
- journal article
- research article
- Published by Oxford University Press (OUP) in Biometrika
- Vol. 102 (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.Keywords
This publication has 16 references indexed in Scilit:
- A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for AdenocarcinomaThe American Journal of Human Genetics, 2009
- Lung cancer susceptibility locus at 5p15.33Nature Genetics, 2008
- Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1Nature Genetics, 2008
- Principal components analysis corrects for stratification in genome-wide association studiesNature Genetics, 2006
- Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studiesBiometrika, 2005
- -Tocopherol and beta-Carotene Supplements and Lung Cancer Incidence in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study: Effects of Base-line Characteristics and Study ComplianceJNCI: Journal of the National Cancer Institute, 1996
- Combining Micro and Macro Data in Microeconometric ModelsReview of Economic Studies, 1994
- The alpha-tocopherol, beta-carotene lung cancer prevention study: Design, methods, participant characteristics, and complianceAnnals of Epidemiology, 1994
- Empirical likelihood ratio confidence intervals for a single functionalBiometrika, 1988
- Logistic disease incidence models and case-control studiesBiometrika, 1979