G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study

Controlling for confounding bias is crucial in causal inference. Distinct methods are currently employed to mitigate the effects of confounding bias. Each requires the introduction of a set of covariates, which remains difficult to choose, especially regarding the different methods. We conduct a sim...

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Detalles Bibliográficos
Autores principales: Chatton, Arthur, Le Borgne, Florent, Leyrat, Clémence, Gillaizeau, Florence, Rousseau, Chloé, Barbin, Laetitia, Laplaud, David, Léger, Maxime, Giraudeau, Bruno, Foucher, Yohann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280276/
https://www.ncbi.nlm.nih.gov/pubmed/32514028
http://dx.doi.org/10.1038/s41598-020-65917-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280276/
https://www.ncbi.nlm.nih.gov/pubmed/32514028
http://dx.doi.org/10.1038/s41598-020-65917-x

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