October 2015
Intermediate to advanced
374 pages
13h 23m
English
book
Discrete Event Simulation for Health Technology Assessment
by J. Jaime Caro, Jörgen Möller, Jonathan Karnon, James Stahl, Jack Ishak
Content preview from Discrete Event Simulation for Health Technology Assessment
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321Case Study: Breast Cancer Surveillance
For each main analysis model run, the age at diagnosis was sampled (with
replacement) for 2,000 entities from the corresponding age-based subsets
(patients aged 50to 69years, and aged 70 years and over) of the observed
407women with early breast cancer at moderate risk of recurrence. Theadher-
ence rate for the scenario being analyzed was set and applied to all the simu-
lated women. Then, the 1,000sets of convergent input parameters identied
through the model calibration process were sampled to obtain a set of input
parameter values for the model run. The DES then created three copies of each ...
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