Modeling the effects of multiple exposures with unknown group memberships: a Bayesian latent variable approach-Reference-Cited by-同舟云学术

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

Published:2020-11-06 Issue: Volume: Page:1-27
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Zavez Alexis¹^ORCID,McSorley Emeir M.²,Yeates Alison J.²,Thurston Sally W.¹³^ORCID

Affiliation:

1. Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA

2. Nutrition Innovation Centre for Food and Health (NICHE), Ulster University, Coleraine, Northern Ireland

3. Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA

Funder

National Institute of Environmental Health Sciences

National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1843611

Reference35 articles.

1. Does atopic disease start in foetal life?

2. Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures

3. Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

4. Measurement Error in Nonlinear Models

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships;Journal of Agricultural, Biological and Environmental Statistics;2023-02-14

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