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G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes

In clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation is an alternative because of its high statistical power. Machine learning is also increasingly used because of its possible robustness to model misspecification. I...

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Dettagli Bibliografici
Pubblicato in:Sci Rep
Autori principali: Le Borgne, Florent, Chatton, Arthur, Léger, Maxime, Lenain, Rémi, Foucher, Yohann
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2021
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7809122/
https://ncbi.nlm.nih.gov/pubmed/33446866
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-81110-0
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