A design‐by‐treatment interaction model for network meta‐analysis with random inconsistency effects
A design‐by‐treatment interaction model for network meta‐analysis with random inconsistency effects
Network meta‐analysis is becoming more popular as a way to analyse multiple treatments simultaneously and, in the right circumstances, rank treatments. A difficulty in practice is the possibility of ‘inconsistency’ or ‘incoherence’, where direct evidence and indirect evidence are not in agreement. Here, we develop a random‐effects implementation of the …