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A0364
Title: Second-order estimating equations for clustered current status data from family studies using biased sampling Authors:  Yujie Zhong - Shanghai University of Finance and Economics (China) [presenting]
Richard Cook - University of Waterloo (Canada)
Abstract: Studies about the genetic basis for disease are routinely conducted through family studies under response-dependent sampling in which affected individuals are sampled, along with relatives providing current status information on disease onset times. We develop conditional second-order estimating equations for studying the nature and extent of within-family dependence which recognizes the biased sampling scheme employed in family studies and the current status data provided by the relatives. Simulation studies are carried out to evaluate the finite sample performance of different estimating functions and to quantify the empirical relative efficiency of the various methods. Sensitivity to model misspecification is also explored. An application to a motivating psoriatic arthritis family study is given for illustration.