Cross-sectional Analysis of Longitudinal Data with Missing Values in the Dependent Variables: A Comparison of Weighted Estimating Equations with the Complete Case Analysis
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چکیده
Inference for cross sectional models using longitudinal data can be drawn with independence estimating equations Liang and Zeger Many studies su er from missing data Robins and coworkers proposed to use weighted estimating equations WEE in estimating the mean struc ture if missing data are present in dependent variables In this paper the WEE are compared with complete case analyses for binary responses using simulated data Our results are in accordance with the theoretical ndings of Robins and coworkers The WEE yield consistent estimates even if the data are missing at random
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تاریخ انتشار 1997