12.30-1.30pm, Wed 28th November 2018
Seminar Room 515, Level 5, 207 Bouverie Street, Carlton
Dr Erik Koffijberg, Associate Professor, Department of Health Technology & Services Research, Technical Medical Centre, University of Twente, The Netherlands
When assessing new tests and biomarkers in clinical trials is costly and time consuming, model-based analysis may be valuable to assess (cost‑)effectiveness and budget impact.
When the timing of tests can be varied, model-based evaluation of only a limited number of timing strategies is suboptimal. However, evaluation of all possible strategies is often computationally infeasible. This presentation will illustrate the advantages of using a meta-model to optimize test timing, in a case study on screening for colorectal cancer including colonoscopy capacity constraints.