Modeling the effects of multiple exposures with unknown group memberships: a Bayesian latent variable approach

DOI10.1080/02664763.2020.1843611OpenAlexW3095650762MaRDI QIDQ5085662

Sally W. Thurston, Unnamed Author, Emeir M. McSorley, Alison J. Yeates

Publication date: 27 June 2022

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

Full work available at URL: https://pure.ulster.ac.uk/en/publications/9a5da88b-86fe-4c3c-9a01-5fd4cb6f848c

zbMATH Keywords

Markov chain Monte Carlolatent variablesimmune responseinflammationmultiple exposuresSeychelles child development study

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics (62Pxx)

Related Items (1)

A Bayesian partial membership model for multiple exposures with uncertain group memberships

Uses Software

• BayesDA

Cites Work

• Unnamed Item
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• Characterization of weighted quantile sum regression for highly correlated data in a risk analysis setting
• Dealing With Label Switching in Mixture Models
• Measurement Error in Nonlinear Models
• Structural Equation Models

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