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As complex-survey data becomes more widely used in health and social-scienceresearch, there is increasing interest in fitting a wider range of regressionmodels. We describe an implementation of two-level linear mixed models in Rusing the pairwise composite likelihood approach of Rao and co-workers. Wediscuss the computational efficiency of pairwise composite likelihood andcompare the estimator to the existing stagewise pseudolikelihood estimator insimulations and in data from the PISA educational survey.

Linear mixed models for complex survey data: implementing and evaluating pairwise likelihood