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Exploring causality from observational data: An example assessing whether religiosity promotes cooperation

Causal inference from observational data is notoriously difficult, and relies upon many unverifiable assumptions, including no confounding or selection bias. Here, we demonstrate how to apply a range of sensitivity analyses to examine whether a causal interpretation from observational data may be ju...

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Detalles Bibliográficos
Autor principal: Major-Smith, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426067/
https://www.ncbi.nlm.nih.gov/pubmed/37587927
http://dx.doi.org/10.1017/ehs.2023.17

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