Local inconsistency detection using the Kullback-Leibler divergence measure.

ABSTRACT:

Background

The standard approach to local inconsistency assessment typically relies on testing the conflict between the direct and indirect evidence in selected treatment comparisons. However, statistical tests for inconsistency have low power and are subject to misinterpreting a p-value above the significance threshold as evidence of consistency.

Methods

We propose a simple framework to interpret local inconsistency based on the average Kullback-Leibler divergence (KLD) from approximating the direct with the corresponding indirect estimate and vice versa. Our framework uses directly the mean and standard error (or posterior mean and standard deviation) of the direct and indirect estimates obtained from a local inconsistency method to calculate the average KLD measure for se

SUBMITTER: Spineli LM 

PROVIDER: S-EPMC11487772 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature