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Original Articles
Quantifying the Impact of Unobserved Heterogeneity on Inference from the Logistic Model
Salma Ayis
Department of Social Medicine, University of Bristol, Bristol, UKCorrespondence[email protected]
Pages 2164-2177
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Received 30 May 2008, Accepted 19 Sep 2008, Published online: 04 Jun 2009
Table 1 Theoretical contribution of first-, second-, and third-order terms to the approximation of bias due to unobserved heterogeneity, with variance
Table 2 A comparison between theoretical bias and numerical (simulation) bias, for the (MLH) estimator
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