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Clusters with random size: maximum likelihood versus weighted estimation

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Publication:4571201
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DOI10.5705/ss.202016.0019zbMath1394.62085OpenAlexW2394032961MaRDI QIDQ4571201

Geert Verbeke, Geert Molenberghs, Lisa Hermans, Michael G. Kenward, Wim Van Der Elst, Vahid Nassiri, Marc Aerts

Publication date: 6 July 2018

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202016.0019


zbMATH Keywords

likelihood inferencepseudo-likelihoodunequal cluster size


Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)


Related Items (4)

Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies ⋮ A Tutorial on the Practical Use and Implication of Complete Sufficient Statistics ⋮ Fast two-stage estimator for clustered count data with overdispersion ⋮ Optimal weighted estimation versus Cochran–Mantel–Haenszel




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