Model-Based Classification of Clustered Binary Data with Non-ignorable Missing Values

DOI10.1007/978-3-642-35588-2_15zbMath1300.62099OpenAlexW2242800612WikidataQ58205254 ScholiaQ58205254MaRDI QIDQ2930698

Francesco Lagona

Publication date: 19 November 2014

Published in: Advances in Theoretical and Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-35588-2_15

zbMATH Keywords

EM algorithmrandom effectslatent classesmultilevel datanon-ignorable missing values

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

This page was built for publication: Model-Based Classification of Clustered Binary Data with Non-ignorable Missing Values