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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Format: | Article |
Language: | English |
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Cambridge University Press
2023-01-01
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Series: | Evolutionary Human Sciences |
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Online Access: | https://www.cambridge.org/core/product/identifier/S2513843X23000178/type/journal_article |