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

DOI10.1007/s10260-022-00650-5WikidataQ114228088 ScholiaQ114228088MaRDI QIDQ6105804

Unnamed Author

Publication date: 26 June 2023

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

zbMATH Keywords

model selectioncurse of dimensionalitymissing at randomsemiparametric likelihoodmissing data mechanismnonmonotone missing data patterns

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Semiparametric model for regression analysis with nonmonotone missing data
• Semiparametric theory and missing data.
• A semiparametric inference to regression analysis with missing covariates in survey data
• Regression Analysis with Covariates Missing at Random: A Piece-wise Nonparametric Model for Missing Covariates
• Inference and missing data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Double-Semiparametric Method for Missing Covariates in Cox Regression Models
• On Profile Likelihood
• Statistical Analysis with Missing Data, Third Edition
• Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression
• On Inverse Probability Weighting for Nonmonotone Missing at Random Data
• Likelihood Methods for Regression Models with Expensive Variables Missing by Design
• Missing-Data Methods for Generalized Linear Models

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