We conclude that Bayesian methods are a powerful tool for incorporating data and prior information into models. They have the potential to improve analyses of RCTs in eating disorders given small sample sizes, small effect size, abundant prior information, heterogeneous participants, and experimental design. These methods are useful for empirical researchers, particularly clinical psychologists.
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