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Comment
. 2022 Nov 1;33(6):e20-e21.
doi: 10.1097/EDE.0000000000001530. Epub 2022 Oct 5.

Re. A Multipollutant Approach to Estimating Causal Effects of Air Pollution Mixtures on Overall Mortality in a Large, Prospective Cohort

Jaime Reyes Sanchez  1
Affiliations
Comment

Re. A Multipollutant Approach to Estimating Causal Effects of Air Pollution Mixtures on Overall Mortality in a Large, Prospective Cohort

Jaime Reyes Sanchez. Epidemiology. .
No abstract available

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Conflict of interest statement

The author reports no conflicts of interest.

Comment on

References

    1. Traini E, Huss A, Portengen L, et al. A multipollutant approach to estimating causal effects of air pollution mixtures on overall mortality in a large, prospective cohort. Epidemiology. 2022;33:514–522.
    1. Hernán MA, Hernández-Díaz S, Werler MM, Mitchell AA. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155:176–184.
    1. Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015;34:3661–3679.
    1. Westreich D. Epidemiology by Design: A Causal Approach to the Health Sciences. Oxford University Press; 2020.

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