Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random

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Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random.

The generalized estimating equations (GEE) approach is commonly used to model incomplete longitudinal binary data. When drop-outs are missing at random through dependence on observed responses (MAR), GEE may give biased parameter estimates in the model for the marginal means. A weighted estimating equations approach gives consistent estimation under MAR when the drop-out mechanism is correctly ...

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ژورنال

عنوان ژورنال: Statistics in Medicine

سال: 2002

ISSN: 0277-6715

DOI: 10.1002/sim.1241