The Similarity of Causal Inference in Experimental and Non-experimental Studies.
For nearly as long as the word 'correlation' has been part of statistical parlance, students have been warned that correlation does not prove causation, and that only experimental studies, e.g., randomized clinical trials, can establish the existence of a causal relationship. Over the last few decad...
| Publicado en: | Philosophy of Science Vol. 72; no. 5; pp. 927 - 941 |
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| Formato: | Artículo |
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Cambridge University Press
Dec2005
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=24277125&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 24277125 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2005 vid: 72 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 24277125 10.1086/508950 ppf: 927 ppct: 14 formats: fmt: @attributes: type: P size: 765KB tig: atl: The Similarity of Causal Inference in Experimental and Non-experimental Studies. aug: au: Scheines, Richard affil: Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA, 15213 su: Clinical trials Causation (Philosophy) Medical experimentation on humans Statisticians Computer scientists Philosophy of science sug: subj: Clinical trials Causation (Philosophy) Medical experimentation on humans Statisticians Computer scientists Philosophy of science ab: For nearly as long as the word 'correlation' has been part of statistical parlance, students have been warned that correlation does not prove causation, and that only experimental studies, e.g., randomized clinical trials, can establish the existence of a causal relationship. Over the last few decades, somewhat of a consensus has emerged between statisticians, computer scientists, and philosophers on how to represent causal claims and connect them to probabilistic relations. One strand of this work studies the conditions under which evidence accumulated from non-experimental (observational) studies can be used to infer a causal relationship. In this paper, I compare the typical conditions required to infer that one variable is a direct cause of another in observational and experimental studies. I argue that they are essentially the same. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2005 holdings: @attributes: islocal: N |
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