Calibration of P-Values for Point Null Hypothesis Testing
Lower Bounds on Bayes Factors for Point Null Hypotheses
Interpretation of Bayes factors
Interpretation of Bayes factors
Interpretation of the logarithms of Bayes factors
Interpretation of the logarithms of Bayes factors
Turn Bayes Factors Into Posterior Probabilities
Lower Bounds on the Posterior Probabilities of Point Null Hypotheses
Calibrate p-values under a robust perspective using the methods developed by Sellke, Bayarri, and Berger (2001) <doi:10.1198/000313001300339950> and obtain measures of the evidence provided by the data in favor of point null hypotheses which are safer and more straightforward to interpret.
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