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

We propose a Bayesian latent variable model to allow estimation of the covariate-adjusted relationships between an outcome and a small number of latent exposure variables, using data from multiple observed exposures. Each latent variable is assumed to be represented by multiple exposures, where memb...

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Bibliographische Detailangaben

Veröffentlicht in:	Journal of applied statistics. - 1991. - 49(2022), 4 vom: 04., Seite 831-857
1. Verfasser:	Zavez, Alexis (VerfasserIn)
Weitere Verfasser:	McSorley, Emeir M, Yeates, Alison J, Thurston, Sally W
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	Journal of applied statistics
Schlagworte:	Journal Article Immune response Inflammation Latent variables Markov chain Monte Carlo Multiple exposures Seychelles Child Development Study