Test Statistics
Test Statistics is a formal metric within Bayesian model checking that quantifies the discrepancy between observed data and the predictions of a posited model, distinguishing itself by its reliance on posterior predictive distributions to assess model adequacy.
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2017–2026
430
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The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
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University of California, Los Angeles, United States
19 publications · 9.3K citations
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Harvard University
Cambridge, United States
27 h-index
82 publications
45.2K citations
Stanford University
Stanford, United States
27 h-index
58 publications
7.8K citations
University of California, Los Angeles
Los Angeles, United States
24 h-index
47 publications
12.1K citations
Princeton University
Princeton, United States
24 h-index
50 publications
9.2K citations
University of California, Berkeley
Berkeley, United States
22 h-index
45 publications
10.6K citations
University of Wisconsin–Madison
Madison, United States
22 h-index
47 publications
4.8K citations
Columbia University
New York, United States
22 h-index
38 publications
4.1K citations

Cornell University
Ithaca, United States
22 h-index
41 publications
2.3K citations
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207 publications · 20.1K citations
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96 publications · 21.7K citations
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99 publications · 86.1K citations
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82 publications · 6.9K citations
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73 publications · 8.2K citations
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