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Empirical-Likelihood-Based Criteria for Model Selection on Marginal Analysis of Longitudinal Data With Dropout Missingness

Empirical-Likelihood-Based Criteria for Model Selection on Marginal Analysis of Longitudinal Data With Dropout Missingness

Longitudinal data are common in clinical trials and observational studies, where missing outcomes due to dropouts are always encountered. Under such context with the assumption of missing at random, the weighted generalized estimating equations (WGEE) approach is widely adopted for marginal analysis. Model selection on marginal mean regression is a …