Intervals for Posttest Probabilities: A Comparison of 5 Methods

This work describes 5 methods of constructing confidence intervals for posttest probabilities when estimates of sensitivity, specificity, and the pretest probability of a disorder are derived from empirical data, and concludes that an objective Bayesian approach is the best approach.

Abstract

Physicians and investigators can generate accurate confidence intervals for posttest probabilities in small-sample situations using the objective Bayesian approach.