Quantitative Preference Methods and Regulatory Decision Making: Letting the Numbers Do the Talking
Quantitative preference methods have increasingly been used to incorporate patient perspectives into regulatory decision making. Specifically, regulators are using patient preference information to support benefit-risk assessments for treatments with unclear net clinical benefits. During his presentation and Q&A, Dr. Gonzalez will describe some of the most widely used quantitative preference methods. He will also discuss the process for collecting quantitative preference information and the statistical tools used to analyze such data.
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About Dr. Gonzalez
Dr. Gonzalez is an expert in the design of stated-preference survey instruments and the use of advanced statistical tools to analyze stated-preference data. His research has focused on the transparency in benefit-risk evaluations of medical interventions, and the elicitation of health preferences from multiple stakeholders to support shared decision making.