Estimators based on unconventional likelihoods with nonignorable missing data and its application to a children's mental health study

DOI10.1080/10485252.2019.1664739zbMath1431.62045OpenAlexW2973631649WikidataQ100434630 ScholiaQ100434630MaRDI QIDQ5240637

Jiwei Zhao, Chi Chen

Publication date: 29 October 2019

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531040

zbMATH Keywords

asymptotic normalitylogistic regressionconditional likelihoodnonignorable missing datapseudo likelihoodmissingness mechanismunconventional likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Missing data (62D10)

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• Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse
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