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Quantifying causal effects from observed data using quasi-intervention
BACKGROUND: Causal inference is a crucial element within medical decision-making. There have been many methods for investigating potential causal relationships between disease and treatment options developed in recent years, which can be categorized into two main types: observational studies and exp...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773512/ https://www.ncbi.nlm.nih.gov/pubmed/36544217 http://dx.doi.org/10.1186/s12911-022-02086-z |