Network Meta-Analysis (NMA) is a powerful tool for evaluating treatment efficacy and getting an outcome-specific ranking, but combining them into a single comprehensive one can be challenging. This presentation evaluates various rank aggregation methods through the sample case of NMA applied to antipsychotic drug efficacy in schizophrenia. The seminar first introduces NMA and then discusses the strengths and limitations of each method, focusing on how well they perform on the specific dataset.
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