Conditional Inference Trees
Conditional Inference Trees is a statistical decision tree algorithm that belongs to the class of recursive partitioning methods, distinguished by its use of formal hypothesis tests at each split to ensure unbiased variable selection through conditional inference frameworks.
168
Publications
7.6K
Citations
875
Authors
464
Institutions
Publications per year
2017–2026
115
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Criminological Research Institute of Lower Saxony, Germany
3 publications · 73 citations
3
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1–5 of 875
464
University of Zurich
Zurich, Switzerland
5 h-index
7 publications
363 citations

University of Toronto
Toronto, Canada
4 h-index
12 publications
956 citations

Johns Hopkins University
Baltimore, United States
4 h-index
12 publications
330 citations

Johns Hopkins Medicine
Baltimore, United States
4 h-index
10 publications
300 citations
Universitätsklinik Balgrist
Zurich, Switzerland
4 h-index
8 publications
365 citations
Criminological Research Institute of Lower Saxony
Hanover, Germany
4 h-index
7 publications
166 citations

Universidad de Granada
Granada, Spain
3 h-index
7 publications
257 citations
Emory University
Atlanta, United States
3 h-index
8 publications
131 citations
1–8 of 464
9 publications · 399 citations
9
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NNR · 3 publications · 133 citations
3
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WE · 3 publications · 74 citations
3
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Repository · 3 publications · 96 citations
3
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2 publications · 32 citations
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