Estimation of multi-state models with missing covariate values based on observed data likelihood

DOI10.1080/03610926.2018.1520884OpenAlexW2906800066WikidataQ90930175 ScholiaQ90930175MaRDI QIDQ5077932

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Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6812530

zbMATH Keywords

longitudinal datamulti-state modelMARmissing covariateMCAR

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SAS
• msm
• SAS macro MARKOV

Cites Work

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• Multi-state models: A review
• Multi-state models in epidemiology
• Multi‐stage transitional models with random effects and their application to the Einstein aging study
• The Analysis of Panel Data Under a Markov Assumption
• Inference and missing data
• Cox Regression with Incomplete Covariate Measurements
• Multi-state models for bone marrow transplantation studies
• Inference for multi-state models from interval-censored data
• Missing-Data Methods for Generalized Linear Models

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