Bayesian Effect Size Estimation
Bayesian Effect Size Estimation is a statistical method that uses Bayesian inference to quantify the magnitude of an effect by estimating posterior distributions of effect sizes, incorporating prior knowledge and updating beliefs in light of observed data.
50
Publications
5.7K
Citations
136
Authors
100
Institutions
Publications per year
2017–2026
22
Parents
50
John R. Crawford, Paul H. Garthwaite, Sara Porter · Cognitive Neuropsychology · 2010 · 498 citations
1–5 of 50
136
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 136
100
Utrecht University
Utrecht, The Netherlands
4 h-index
8 publications
202 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
282 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
121 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
2K citations
Universität Hamburg
Hamburg, Germany
2 h-index
2 publications
999 citations

Tilburg University
Tilburg, The Netherlands
2 h-index
3 publications
144 citations

The Open University
Milton Keynes, United Kingdom
2 h-index
2 publications
556 citations
St Mary's Hospital
Kettering, United Kingdom
2 h-index
2 publications
129 citations
1–8 of 100
3 publications · 105 citations
3
h-index
2 publications · 43 citations
2
h-index
2 publications · 37 citations
2
h-index
2 publications · 976 citations
2
h-index
2 publications · 556 citations
2
h-index
1–5