• A New Bayesian Two-Sample t Test and Solution to the Behrens-Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations

    3 monthes ago - By Springer

    Abstract
    Testing differences between a treatment and control group is common practice in biomedical research like randomized controlled trials. The standard two-sample t test relies on null hypothesis significance testing via p values, which has several drawbacks. Bayesian alternatives were recently introduced using the Bayes factor, which has its own limitations. This paper introduces an alternative to current Bayesian two-sample t tests by interpreting the underlying model as a two-component Gaussian mixture in which the effect size is the quantity of interest, which is most relevant in...
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