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
157A Simple Example
the formula into its components and store these in aPIPFS for the prognostic
index, aRndNumPFS for the random number. The three coefcients for the
equation can be stored in global variables iBetaSexPFS, iBetaAgePFS, and iBet-
aLDHPFS (Figure4.15). The Weibull parameters would be stored in global
variables as well: iScalePFS and iShapePFS.
The formula EP(aSex*iBetaSexPFS+aAge*iBetaAgePFS+aLDH*iBetaLD
HPFS) would be used with the values in the three attributes for each entity
and the three coefcients stored in the global variables to give the value of
aPIPFS. The value of aRndNumPFS would be drawn using the function RA
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