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...

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Detalles Bibliográficos
Autores principales: Yang, Jinghua, Wan, Yaping, Ni, Qianxi, Zuo, Jianhong, Wang, Jin, Zhang, Xiapeng, Zhou, Lifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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