Skip to Main Content
Discrete Event Simulation for Health Technology Assessment
book

Discrete Event Simulation for Health Technology Assessment

by J. Jaime Caro, Jörgen Möller, Jonathan Karnon, James Stahl, Jack Ishak
October 2015
Intermediate to advanced content levelIntermediate to advanced
374 pages
13h 23m
English
Chapman and Hall/CRC
Content preview from Discrete Event Simulation for Health Technology Assessment
186 Discrete Event Simulation for Health Technology Assessment
other such statistical measure. In a model using that clinical trial result as
an input, it would be important to incorporate the parameter uncertainty,
generally based on the reported 95% condence interval. In some cases, the
input value may be known to be uncertain, but there may not be sufcient
empirical data to quantify that uncertainty adequately. This poses a quan-
dary for the analyst as ignoring variability in this parameter estimate is tan-
tamount to assuming it is known with certainty. Applying an arbitrary range
(e.g., ±50%)—although often done—is not an appropriate way to address
this uncertainty, but such analyses can be useful to determine if the model
outputs are ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Numerical Simulation, An Art of Prediction 1

Numerical Simulation, An Art of Prediction 1

Jean-François Sigrist

Publisher Resources

ISBN: 9781482218251