Interaction Effects
Interaction Effects is a statistical phenomenon in which the effect of one independent variable on a dependent variable depends on the level or presence of another independent variable, thereby revealing treatment effect heterogeneity through the non-additive joint influence of factors in factorial experimental designs.
6.3K
Publications
423.2K
Citations
19K
Authors
4.4K
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Publications per year
2017–2026
1.8K
6.3K
A working guide to boosted regression trees
Jane Elith, John R. Leathwick, Trevor Hastie · Journal of Animal Ecology · 2008 · 6.5K citations · Full text
Computing, Biostatistics, Ecology +14
Wynne W. Chin, Barbara L. Marcolin, Peter R. Newsted · Information Systems Research · 2003 · 6.4K citations
Interaction terms in logit and probit models
Chunrong Ai, Edward C. Norton · Economics Letters · 2003 · 5.8K citations
Kristopher J. Preacher, Patrick J. Curran, Daniel J. Bauer · Journal of Educational and Behavioral Statistics · 2006 · 5K citations
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University at Albany, State University of New York, United States
9 publications · 2.3K citations
9
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1–5 of 19K
4.4K
University of Michigan
Ann Arbor, United States
34 h-index
128 publications
13K citations
Harvard University
Cambridge, United States
31 h-index
123 publications
13.8K citations
University of Wisconsin–Madison
Madison, United States
31 h-index
122 publications
7.7K citations
Columbia University
New York, United States
30 h-index
86 publications
9K citations
Utrecht University
Utrecht, The Netherlands
30 h-index
104 publications
8.3K citations

Pennsylvania State University
State College, United States
30 h-index
88 publications
6.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
29 h-index
88 publications
33.2K citations
University of Washington
Seattle, United States
28 h-index
78 publications
10K citations
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PRL · 75 publications · 7.8K citations
42
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79 publications · 3.3K citations
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PRB · 54 publications · 3.3K citations
33
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PRB · 52 publications · 2.2K citations
26
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38 publications · 3.8K citations
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