Back-door Criterion
The Back-Door Criterion is a formal condition in causal graphical models that identifies a set of covariates which, when adjusted for, suffices to eliminate confounding bias by blocking all back-door paths from the treatment variable to the outcome variable while not introducing new spurious associations.
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2017–2026
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Causal inference for statistical fault localization
George K. Baah, Andy Podgurski, Mary Jean Harrold · 2010 · 117 citations
The Shelter‐Related Behavior of the Losbter, Homarus Americanus
J. Stanley Cobb · Ecology · 1971 · 104 citations
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Iowa State University
Ames, United States
3 h-index
3 publications
149 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
218 citations
The University of Osaka
Osaka, Japan
2 h-index
2 publications
43 citations

Kyoto University
Kyoto, Japan
2 h-index
2 publications
43 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
57 citations
Columbia University
New York, United States
2 h-index
2 publications
57 citations
Azienda Ospedaliera Carlo Poma
Mantova, Italy
1 h-index
2 publications
54 citations
Centro Neurolesi Bonino Pulejo
Messina, Italy
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2 publications
54 citations
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Conference · 3 publications · 149 citations
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Repository · 1 publications · 13 citations
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