Does water kill? A call for less casual causal inferences
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Published on: April 10, 2017
1Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Harvard-MIT Division of Health Sciences and Technology, Boston, MA.
Abstract:
"Can this number be interpreted as a causal effect?" is a key question for scientists and decision makers. The potential outcomes approach, a quantitative counterfactual theory, describes conditions under which the question can be answered affirmatively. This article reviews one of those conditions, known as consistency, and its implications for real world decisions.
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