01784nas a2200217 4500008004100000245011300041210006900154260000900223300001200232490000700244520105400251653001701305100001901322700002201341700001101363700001101374700002001385700001301405700001301418856013501431 2015 eng d00aDisease risk estimation by combining case-control data with aggregated information on the population at risk0 aDisease risk estimation by combining casecontrol data with aggre c2015 a114-1210 v713 aWe propose a novel statistical framework by supplementing case-control data with summary statistics on the population at risk for a subset of risk factors. Our approach is to first form two unbiased estimating equations, one based on the case-control data and the other on both the case data and the summary statistics, and then optimally combine them to derive another estimating equation to be used for the estimation. The proposed method is computationally simple and more efficient than standard approaches based on case-control data alone. We also establish asymptotic properties of the resulting estimator, and investigate its finite-sample performance through simulation. As a substantive application, we apply the proposed method to investigate risk factors for endometrial cancer, by using data from a recently completed population-based case-control study and summary statistics from the Behavioral Risk Factor Surveillance System, the Population Estimates Program of the US Census Bureau, and the Connecticut Department of Transportation.10aSupply Chain1 aChang, Xiaohui1 aWaagepetersen, R.1 aYu, H.1 aMa, X.1 aHolford, T., R.1 aWang, R.1 aGuan, Y. uhttps://business.oregonstate.edu/biblio/disease-risk-estimation-combining-case-control-data-aggregated-information-population-risk