Substantial methodological differences exist between model-based studies evaluating depression treatments.

Simpler models, such as decision trees and cohort-based Markov models, were more frequently used.

Microsimulation models, such as individual-based state-transition models and discrete-event simulation models, incorporate patient heterogeneity and history, which is important when modelling depression.