Performance of weighted estimating equations for longitudinal binary data with drop‐outs missing at random
Performance of weighted estimating equations for longitudinal binary data with drop‐outs missing at random
Abstract 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 …