Abstract:
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Bayesian network meta analysis expands the scope of traditional pairwise meta-analysis to simultaneously handle multiple treatment comparisons. It has been widely used in comparative effectiveness research as well as go/no-go decision making to understand competitor landscapes. In this talk, I will show different techniques for the sensitivity analyses to help on understanding the robustness of the results
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