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HERC Cost Effectiveness Analysis Course

Sensitivity Analyses

NOTE: A newer version of this presentation is available at

by Risha Gidwani-Marszowski, DrPH
Seminar date: 6/25/2014

Description: Inputs for a decision model come in the form of point estimates, and these point estimates inevitably have some degree of uncertainty. Sensitivity analyses test how robust the model is to this uncertainty by varying model inputs and evaluating the effect of these variations on model results. This lecture covers deterministic and probabilistic sensitivity analyses, the latter of which is increasingly necessary in order to publish one’s model in a peer-reviewed journal.

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