B0376
Title: Simulation-based estimation in mixed effects models with measurement error and missing data
Authors: Liqun Wang - University of Manitoba (Canada) [presenting]
Abstract: A simulation-based approach is proposed for parameter estimation in generalized linear mixed models where some covariates are measured with error and some response data are missing at random. This joint issue is deal with by combining the instrumental variables and probability weighting method. The proposed estimator is consistent and asymptotically normal under general conditions. The finite sample performance of this estimator is investigated through simulation studies.
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