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Abstract Details

Activity Number: 415
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: SSC
Abstract - #305336
Title: Estimating Equation Approach for Joint Estimation of Regression Parameters and Missing Data Probabilities
Author(s): Yang Zhao*+ and Meng Liu
Companies: University of Regina and University of Regina
Address: Math and Stats Dept., Regina, SK, S4S 0A2, Canada
Keywords: Estimating equation ; Missing covariates ; Missing data probability ; Nonmonotone missing pattern

This research considers estimating regression models with covariates missing in nonmonotone patterns. It proposes a method to joint estimate the regression parameters and the missing data probabilities. The method can deal with arbitrary missing data patterns as long as the missing data probabilities can be estimated consistently based on observed data. A read data example from a clinical trial on breast cancer is used to illustrate the method.

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