EMPIRICAL LIKELIHOOD METHODS FOR COMPLEX SURVEYS WITH DATA MISSING-BY-DESIGN
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DOI: 10.5705/ss.202016.0291
Abstract: We consider nonrandomized pretest-posttest designs with complex survey data for observational studies. We show that two-sample pseudo empirical likelihood methods provide efficient inferences on the treatment effect, with a missing-by-design feature used for forming the… read more here.
Keywords: likelihood; empirical likelihood; likelihood methods; missing design ... See more keywords