Credibility intervals are used in Bayesian analysis to provide predictive indicators of the distribution of a given outcome.  Whilst they can be analogous to frequentist-based confidence intervals, credibility intervals reflect the probabilistic nature of the analysis.  Credibility intervals are commonly used to represent the degree of uncertainty in the outputs of network meta-analyses.


How to cite: Credibility Interval [online]. (2016). York; York Health Economics Consortium; 2016.