Lessons Learned from a Cross-Model Validation between a Discrete Event Simulation Model and a Cohort State-Transition Model for Personalized Breast Cancer Treatment

Conclusions. Cross-model validation was crucial to identify and correct coding errors and to explain differences in model outcomes. In our comparison, small differences in either QALYs or costs led to changes in ICERs because of changes in the set of dominated and nondominated strategies.

Source: Medical Decision Making - February 29, 2016 Category: Health Management Authors: Jahn, B., Rochau, U., Kurzthaler, C., Paulden, M., Kluibenschädl, M., Arvandi, M., Kühne, F., Goehler, A., Krahn, M. D., Siebert, U. Tags: Original Articles Source Type: research