Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm.

Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm.

Binary Generalized Linear Mixed Model (GLMM) is the most common method used by researchers to analyze clustered binary data in biological and social sciences. The traditional approach to GLMMs causes substantial bias in estimates due to steady shape of logistic and normal distribution assumptions th...

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Bibliographic Details
Main Authors: Chénangnon Frédéric Tovissodé, Aliou Diop, Romain Glèlè Kakaï
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249604&type=printable
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