Bayesian factor models for probabilistic cause of death assessment with verbal autopsies

DOI10.1214/19-AOAS1253zbMath1439.62220arXiv1803.01327WikidataQ125290601 ScholiaQ125290601MaRDI QIDQ2179963

Tyler H. McCormick, Zehang Richard Li, Samuel J. Clark, Tsuyoshi Kunihama

Publication date: 13 May 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.01327

zbMATH Keywords

survey datamultivariate dataconditional dependencecause of deathBayesian latent modelverbal autopsies

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05) Medical epidemiology (92C60)

Related Items (2)

Bayesian factor models for probabilistic cause of death assessment with verbal autopsies ⋮ Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies

Uses Software

• R
• Ox
• BayesDA

Cites Work

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• Inference and missing data
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• Nonparametric Bayes Modeling of Multivariate Categorical Data

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