Credible interval

Credible intervals are used in Bayesian statistics to quantify the uncertainty about an unobserved parameter (such as an effect estimate in a network meta-analysis). A credible interval represents the range within which the parameter lies with a specified probability, given the observed data and prior information. While they may numerically resemble frequentist confidence intervals, credible intervals have a different interpretation: the probability statement applies directly to the parameter, reflecting the probabilistic nature of Bayesian analysis.