Using independent cross‐sectional survey data to predict post‐migration health trajectories among refugees by estimating transition probabilities and their variances

DOI10.1002/bimj.202100045zbMath1523.62111OpenAlexW4212845376MaRDI QIDQ6089925

Unnamed Author, Meinhard Kieser, Unnamed Author, Unnamed Author

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.202100045

zbMATH Keywords

causal inferencesurvey methodscontextual factorsrefugeessocial epidemiology

Mathematics Subject Classification ID

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

Cites Work

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• Innovative statistical methods for public health data
• Fully conditional specification in multivariate imputation
• The central role of the propensity score in observational studies for causal effects
• Statistical Analysis with Missing Data, Third Edition
• Flexible Imputation of Missing Data, Second Edition

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