Challenges Associated With Multiple Outcome Definitions in Clinical Research

Multiple outcomes in clinical research lead to logical and statistical challenges. For any area of physical or psychological health, a single study might include multiple related outcomes analyzed in multiple ways, leading to multiple numerical results. Using examples from the Multiple Data Sources (MUDS) study, Dr. Evan Mayo-Wilson will discuss the consequences of “multiplicity” for clinical investigators, systematic reviews and guideline developers, and clinical decision-makers. He will highlight some potential solutions to these challenges, including prospective registration and core outcome sets.

Registration is required. A recording of this webinar will be available approximately one week after the session.

Visit the NIH website to learn more and to register.