Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study-Reference-Cited by-同舟云学术

Performance of variable and function selection methods for estimating the nonlinear health effects of correlated chemical mixtures: A simulation study

Published:2020-09-17 Issue:27 Volume:39 Page:3947-3967
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Lazarevic Nina¹^ORCID,Knibbs Luke D.¹^ORCID,Sly Peter D.²^ORCID,Barnett Adrian G.³^ORCID

Affiliation:

1. School of Public Health, Faculty of Medicine The University of Queensland Herston Queensland Australia

2. Children's Health and Environment Program, Child Health Research Centre The University of Queensland South Brisbane Queensland Australia

3. School of Public Health and Social Work, Faculty of Health Queensland University of Technology Kelvin Grove Queensland Australia

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8701

Reference59 articles.

1. Estimating the Health Effects of Exposure to Multi-Pollutant Mixture

2. Current approaches used in epidemiologic studies to examine short-term multipollutant air pollution exposures

3. Environmental Exposure Mixtures: Questions and Methods to Address Them

4. Statistical Methodology in Studies of Prenatal Exposure to Mixtures of Endocrine-Disrupting Chemicals: A Review of Existing Approaches and New Alternatives

5. Statistical Approaches to Address Multi-Pollutant Mixtures and Multiple Exposures: the State of the Science

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