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

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

Abstract 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 (PA...

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Bibliographic Details
Main Authors: Ryan Masters, Eric Reither
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Population Health Metrics
Subjects:
Attributable fractions
Selection bias
Confounding bias
Mortality
Online Access:https://doi.org/10.1186/s12963-019-0196-6

Internet

https://doi.org/10.1186/s12963-019-0196-6

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