Multi-criteria decision analysis (MCDA) comprises a set of methods that explicitly considers multiple criteria in decision-making environments. Formally structuring complex problems appropriately and considering multiple criteria explicitly is expected to lead to more informed and transparent decisions. Although MCDA methods are increasing in popularity, existing instruments do not reflect local decision-making needs.
This MCDA webinar will discuss the background necessary for different initiatives for MCDA, including why it is needed for transparent rare diseases prioritization decision-making, as well as the steps needed and how to take them in order to capture MCDA preferences of different stakeholders.
Learning Objectives:
- Explain how to prepare for conducting MCDA;
- Describe how to generate criteria definitions and inter-criteria comparison;
- Discuss the Simple Linear Adaptive model (SLAM) vs. Multi-Attribute Value Theory (MAVT) approach and difference between the two; and
- Discuss different MCDA results methodologies and how to interpret them.
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