Parametric fractional imputation for mixed models with nonignorable missing data

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DOI10.4310/SII.2013.V6.N3.A4zbMath1327.62116WikidataQ60521641 ScholiaQ60521641MaRDI QIDQ897204

Zhengyuan Zhu, Shu Yang, Jae Kwang Kim

Publication date: 17 December 2015

Published in: Statistics and Its Interface (Search for Journal in Brave)

zbMATH Keywords

EM algorithm longitudinal data restricted maximum likelihood random effect nonignorable missingness generalized linear mixed model salamander data

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05) Point estimation (62F10)

Related Items (2)

A stochastic variant of the EM algorithm to fit mixed (discrete and continuous) longitudinal data with nonignorable missingness ⋮ Fractional imputation in survey sampling: a comparative review

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