Estimation of regression parameters with survey data

The coefficients of regression equations are often parameters of interest for health surveys and such surveys are usually of complex design with differential sampling rates. We give estimators for the regression coefficients for complex surveys that are superior to ordinary expansion estimators under the subject matter model, but also retain desirable design properties. Theoretical and Monte Carlo properties are presented.