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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
217Formulating the Required Equations
of time-to-event response variables. This last feature is what distinguishes
this technique from more broadly used techniques like Kaplan–Meier analy-
ses and Cox regression. The Kaplan–Meier analysis produces an empirical
estimate of the distribution of event times without making any assumption
about the underlying shape of the risk function and, hence, is said to be non-
parametric. Cox regression, which relates the hazard of the event over time,
h(t) to various determinants (X
j
), assumes only that the effects of these are
multiplicative on the hazard and remain constant over time. It is written as
follows: ...
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Publisher Resources

ISBN: 9781482218251