Accounting for biases in survey-based estimates of population attributable fractions

BACKGROUND: This paper discusses best practices for estimating fractions of mortality attributable to health exposures in survey data that are biased by observed confounders and unobserved endogenous selection. Extant research has shown that estimates of population attributable fractions (PAF) from...

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Detalles Bibliográficos
Autores principales: Masters, Ryan, Reither, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909532/
https://www.ncbi.nlm.nih.gov/pubmed/31830997
http://dx.doi.org/10.1186/s12963-019-0196-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909532/
https://www.ncbi.nlm.nih.gov/pubmed/31830997
http://dx.doi.org/10.1186/s12963-019-0196-6

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