Multiple imputation of incomplete multilevel data using Heckman selection models

DOI10.1002/SIM.9965zbMATH Open1548.62383MaRDI QIDQ6630298

Valentijn M. T. de Jong, Thomas P. A. Debray, Johanna Muñoz, Vincent Audigier, Orestis Efthimiou

Publication date: 31 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

multiple imputationselection modelsmissing not at randomHeckman modelIPDMA

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• A sample selection model with skew-normal distribution
• Tobit models: A survey
• Copula based generalized additive models for location, scale and shape with non-random sample selection
• Multiple imputation for multilevel data with continuous and binary variables
• Inference and missing data
• Pattern-Mixture Models for Multivariate Incomplete Data with Covariates
• Modelling sample selection using Archimedean copulas
• Flexible Imputation of Missing Data, Second Edition
• Using simulation studies to evaluate statistical methods
• Estimating treatment effects under untestable assumptions with nonignorable missing data
• Multiple imputation of binary multilevel missing not at random data

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