The Calibrated Bayesian Hypothesis Test for Directional Hypotheses of the Odds Ratio in 2 2 Contingency Tables

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Randomized trial demonstrates a novel Bayesian test for odds ratio in medical research, indicating reduced false positives.

The Bayesian test enhances the analysis of odds ratios in a 2x2 contingency table, focusing on statistical accuracy.
Using the Dirichlet-multinomial model, the test demonstrates improved control over false-positive rates and power.
The analysis involves simulations and clinical trial data to illustrate practical applications of the test in real scenarios, showing its utility for biostatisticians in regulatory settings with demanding standards for error control and power. The computational implementation is accompanied by R code for ease of application, enabling wider accessibility among researchers.

Riko Kelter (2024) studied this question.

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