Conditional Independence Testing
Conditional Independence Testing is a statistical inference procedure that assesses whether two random variables are independent given a set of conditioning variables, thereby distinguishing itself from unconditional independence tests by explicitly accounting for the influence of specified covariates in determining the dependency structure.
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389
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2017–2026
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A test for independence based on the correlation dimension
W. A. Broock, J. A. Scheinkman, W. Davis Dechert et al. · Econometric Reviews · 1996 · 3.5K citations
Using GOstats to test gene lists for GO term association
Seth Falcon, Robert Gentleman · Bioinformatics · 2006 · 2.2K citations · Full text
Implementing a Class of Permutation Tests: The<b>coin</b>Package
Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel et al. · Journal of Statistical Software · 2008 · 1.5K citations · Full text
Estimating the Error Rates of Diagnostic Tests
Siu L. Hui, Stephen D. Walter · Biometrics · 1980 · 790 citations
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Tongji University
Shanghai, China
8 h-index
8 publications
147 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
14 publications
676 citations
Stanford University
Stanford, United States
7 h-index
8 publications
329 citations
Harvard University
Cambridge, United States
7 h-index
11 publications
241 citations
University of Chicago
Chicago, United States
6 h-index
6 publications
3.8K citations

Cornell University
Ithaca, United States
6 h-index
9 publications
409 citations
University of Cambridge
Cambridge, United Kingdom
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8 publications
836 citations
Fudan University
Shanghai, China
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12 publications
239 citations
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Repository · 25 publications · 1.1K citations
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19 publications · 500 citations
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CSDA · 13 publications · 372 citations
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