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Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models
BACKGROUND: Causal inference has seen an increasing popularity in medical research. Estimation of causal effects from observational data allows to draw conclusions from data when randomized controlled trials cannot be conducted. Although the identification of structural causal models (SCM) and the c...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883695/ https://www.ncbi.nlm.nih.gov/pubmed/35220960 http://dx.doi.org/10.1186/s12874-021-01473-w |