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Causal inference and observational data

Observational studies using causal inference frameworks can provide a feasible alternative to randomized controlled trials. Advances in statistics, machine learning, and access to big data facilitate unraveling complex causal relationships from observational data across healthcare, social sciences,...

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Detalles Bibliográficos
Autores principales:	Olier, Ivan, Zhan, Yiqiang, Liang, Xiaoyu, Volovici, Victor
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Editorial
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566026/ https://www.ncbi.nlm.nih.gov/pubmed/37821812 http://dx.doi.org/10.1186/s12874-023-02058-5

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