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Causal diagrams for empirical legal research: a methodology for identifying causation, avoiding bias and interpreting results
In this paper we introduce methodology—causal directed acyclic graphs—that empirical researchers can use to identify causation, avoid bias, and interpret empirical results. This methodology has become popular in a number of disciplines, including statistics, biostatistics, epidemiology and computer...
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| Publicado no: | Law Probab Risk |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4324363/ https://ncbi.nlm.nih.gov/pubmed/25685055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/lpr/mgr019 |
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