Semiparametric model for regression analysis with nonmonotone missing data

DOI10.1007/s10260-020-00530-wzbMath1480.62072OpenAlexW3034472528MaRDI QIDQ2059105

Yang Zhao

Publication date: 13 December 2021

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-020-00530-w

zbMATH Keywords

EM algorithmpseudo-likelihoodsemiparametric likelihoodnonmonotone missing data patternsprofile log likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Missing data (62D10)

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Maximum likelihood estimation of missing data probability for nonmonotone missing at random data

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