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Data analyses were conducted within a Bayesian framework, which supports inferences beyond binary reject-not reject decisions about null hypotheses, provides a continuous measure of evidence in support of those inferences, and accounts for uncertainty in those inferences (eg, due to an inflated false discovery rate often attributable to multiple comparisons) up front via the specification of default prior distributions on parameters of interest