Cargando…
Commentary: Using potential outcomes causal methods to assess whether reductions in PM(2.5) result in decreased mortality
Causal inference regarding exposures to ambient fine particulate matter (PM(2.5)) and mortality estimated from observational studies is limited by confounding, among other factors. In light of a variety of causal inference frameworks and methods that have been developed over the past century to spec...
Autores principales: | Goodman, Julie E., Li, Wenchao, Cox, Louis Anthony |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446119/ https://www.ncbi.nlm.nih.gov/pubmed/37635718 http://dx.doi.org/10.1016/j.gloepi.2021.100052 |
Ejemplares similares
-
Toward practical causal epidemiology
por: Cox, Louis Anthony
Publicado: (2021) -
Commentary: On the reliability of causal claims
por: Weed, Douglas L.
Publicado: (2022) -
Commentary: Whether it's the best of times or the worst of times, it's the only time we've got
por: Timek, Tomasz A.
Publicado: (2020) -
Causal reasoning about epidemiological associations in conversational AI
por: Cox, Louis Anthony
Publicado: (2023) -
Commentary: Propensity score methods, causal inference, and hazard ratios
por: Andrei, Adin-Cristian
Publicado: (2021)