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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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| Wydane w: | Sci Rep |
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| Główni autorzy: | , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group UK
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7280276/ https://ncbi.nlm.nih.gov/pubmed/32514028 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-65917-x |
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