Evidence Synthesis to Derive Model Transition Probabilities (Part II – Quantitative Pooling)
Risha Gidwani, DrPH
Seminar date: 3/28/2018
Description: When there are multiple publications that have evaluated a parameter of interest (such as disease-related mortality or the efficacy of a treatment), one may be able to quantitatively synthesize these estimates into a single input for use in a decision model. This approach to evidence synthesis is called meta-analysis. This lecture is the second in a two-part series and will walk researchers through the second part of conducting a meta-analysis: quantitatively pooling estimates from the literature to derive a single value that can be used in a decision model.