Probabilistic Causality Assessment
Probabilistic Causality Assessment is a methodological framework within causal inference that evaluates the likelihood of causal relationships by quantifying uncertainty and probabilistic dependencies among variables, distinguishing itself from deterministic approaches through its reliance on probabilistic models to assess cause-effect hypotheses.
21
Publications
890
Citations
63
Authors
36
Institutions
Publications per year
2017–2026
5
Parents
21
Why There's No Cause to Randomize
John Worrall · The British Journal for the Philosophy of Science · 2007 · 304 citations
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36

Lady Hardinge Medical College
New Delhi, India
2 h-index
2 publications
25 citations
Harvard University
Cambridge, United States
1 h-index
4 publications
96 citations
National Cancer Institute
Bethesda, United States
1 h-index
1 publications
49 citations
Université de Bordeaux
Bordeaux, France
1 h-index
7 publications
392 citations

Cork University Hospital
Cork, Ireland
1 h-index
3 publications
183 citations
Instituto de Salud Carlos III
Madrid, Spain
1 h-index
4 publications
48 citations

University of Oslo
Oslo, Norway
1 h-index
1 publications
28 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
32 citations
1–8 of 36
2 publications · 29 citations
2
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2 publications · 25 citations
2
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1 publications · 13 citations
1
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1 publications · 24 citations
1
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1 publications · 22 citations
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1–5