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Bayesian Fisher's exact test/Ushahidi
Rekodi ya ushahidi wa mbinu

Bayesian Fisher's exact test

The Bayesian Fisher's exact test evaluates independence between two categorical variables in a 2x2 table by computing a Bayes factor rather than a p-value. Using conjugate priors on cell probabilities — most commonly the Gunel-Dickey framework — it quantifies how much the observed data favor an association model over an independence model, providing a continuous scale of evidence in both directions.

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Bayesian Fisher's Exact Test for 2x2 Contingency Tables
Rekodi ya mbinu ya kiajenda · hypothesis-test / statistics
  • Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557. · DOI 10.1093/biomet/61.3.545
  • Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default Gunel and Dickey Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638–652. · DOI 10.3758/s13428-016-0739-8
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Taxonomic bucketBayesian chi-square testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Independent Samples t-testmachine-suggested · Relational suggestion, not evidence.Same method familyChi-square testmachine-suggested · Relational suggestion, not evidence.Same method familyFisher's exact testmachine-suggested · Relational suggestion, not evidence.

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