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Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and soci...

Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and soci...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_49377af472a34dd29cb538c89a6ee29d

Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort

About this item

Full title

Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort

Publisher

England: BioMed Central Ltd

Journal title

Environmental health, 2022-11, Vol.21 (1), p.111-15, Article 111

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Both environmental and social factors have been linked to birth weight and adiposity at birth, but few studies consider the effects of exposure mixtures. Our objective was to identify which components of a mixture of neighborhood-level environmental and social exposures were driving associations with birth weight and adiposity at birth in the Healt...

Alternative Titles

Full title

Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_49377af472a34dd29cb538c89a6ee29d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_49377af472a34dd29cb538c89a6ee29d

Other Identifiers

ISSN

1476-069X

E-ISSN

1476-069X

DOI

10.1186/s12940-022-00934-z

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