Handling missingness when modeling the force of infection from clustered seroprevalence data

DOI10.1198/108571107X250535zbMath1306.62232WikidataQ56880830 ScholiaQ56880830MaRDI QIDQ2259836

Frank Boelaert, Niel Hens, Ziv Shkedy, Koen Mintiens, Christel Faes, Hans Laevens, Marc Aerts

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

zbMATH Keywords

clusteringmissing dataweighted generalized estimating equations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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