Log-linear Interaction Effects
Log-Linear Interaction Effects is a statistical construct in log-linear modeling that represents the deviation from independence among categorical variables, capturing how the association between two or more variables changes across the levels of other variables in a multiway contingency table.
65
Publications
12.4K
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111
Authors
60
Institutions
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2017–2026
8
65
Interaction terms in logit and probit models
Chunrong Ai, Edward C. Norton · Economics Letters · 2003 · 5.8K citations
The Mixed Logit model: The state of practice
David A. Hensher, William H. Greene · Transportation · 2003 · 2K citations
Testing hypotheses about interaction terms in nonlinear models
William H. Greene · Economics Letters · 2010 · 787 citations
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2 publications · 55 citations
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60

University of Essex
Colchester, United Kingdom
2 h-index
2 publications
23 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
27 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
2 publications
30 citations
New York University
New York, United States
2 h-index
2 publications
851 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
6 publications
252 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
80 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
5.8K citations
Christchurch Clinical Studies Trust
Christchurch, New Zealand
1 h-index
1 publications
202 citations
1–8 of 60
5 publications · 982 citations
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3 publications · 83 citations
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3 publications · 72 citations
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SMR · 3 publications · 63 citations
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3 publications · 142 citations
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