NOTE: A newer version of this presentation is available at http://www.hsrd.research.va.gov/for_researchers/cyber_seminars/archives/video_archive.cfm?SessionID=1096.
by
Risha Gidwani-Marszowski, DrPH
Seminar date: 6/4/2014
Description: Inputs for a decision model often come from the published literature, but may not be in a form suitable for your decision model. For example, much of the literature contains Odds Ratios and Relative Risks, which need to be transformed into probabilities in order to be used in a model. Conversely, the literature may contain probabilities estimates, but they may not be relevant for the time frame of your model. This seminar discusses ways of deriving probabilities that are specific to your model’s constraints as well as deriving probabilities from published summary statistics. This lecture is aimed at the researcher who is interested in operationalizing his/her own decision model.
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