Infinite diameter confidence sets in Hedges’ publication bias model

نویسندگان

چکیده

Abstract Meta-analysis, the statistical analysis of results from separate studies, is a fundamental building block science. But assumptions classical meta-analysis models are not satisfied whenever publication bias present, which causes inconsistent parameter estimates. Hedges’ selection function model takes into account, but estimating and inferring with this tough for some datasets. Using generalized Gleser–Hwang theorem, we show there no confidence set guaranteed finite diameter parameters model. This result provides partial explanation why inference fraught difficulties.

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ژورنال

عنوان ژورنال: Journal of The Korean Statistical Society

سال: 2022

ISSN: ['2005-2863', '1226-3192', '1876-4231']

DOI: https://doi.org/10.1007/s42952-022-00169-1