Comparison of Timed Automata with Discrete Event Simulation for Modeling of Biomarker-Based Treatment Decisions: An Illustration for Metastatic Castration-Resistant Prostate Cancer
Koen Degeling, Stefano Schivo, Niven Mehra, Hendrik Koffiberg, Rom Langerak, Johann S de Bono, Maarten J Ijzerman
Value in Health | ELSEVIER SCIENCE INC | Published : 2017
BACKGROUND: With the advent of personalized medicine, the field of health economic modeling is being challenged and the use of patient-level dynamic modeling techniques might be required. OBJECTIVES: To illustrate the usability of two such techniques, timed automata (TA) and discrete event simulation (DES), for modeling personalized treatment decisions. METHODS: An early health technology assessment on the use of circulating tumor cells, compared with prostate-specific antigen and bone scintigraphy, to inform treatment decisions in metastatic castration-resistant prostate cancer was performed. Both modeling techniques were assessed quantitatively, in terms of intermediate outcomes (e.g., ove..View full abstract
Awarded by CTCTrap project - FP7 health
This research was supported by the CTCTrap project, which was funded by the FP7 health.2012.1.2-1 (grant no. 305341). In addition, J. S. de Bono acknowledges support from Movember and Prostate Cancer UK to the Movember London Prostate Cancer Centre of Excellence, from a Cancer Research UK Centre grant, and from a Biomedical Research Centre (BRC) grant to The Royal Marsden and the Institute of Cancer Research.