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Activity Number: 100 - Statistical Innovations for Drug Approval and Reimbursement for Rare Disease
Type: Invited
Date/Time: Monday, August 3, 2020 : 1:00 PM to 2:50 PM
Sponsor: International Indian Statistical Association
Abstract #309314
Title: Use Case Scenario: Indirect Comparisons to Enhance Reimbursement Negotiations in Rare Disease
Author(s): Jinesh Shah*
Companies: CSL Behring
Keywords: MAIC

Comparison of novel interventions vs marketed products are an important consideration in reimbursement decisions. However, in rare diseases some drugs are studied and approved without head-to-head comparisons. Network meta-analysis has been widely accepted as an approach to perform these indirect comparisons, but faces limitations especially regarding heterogeneity of populations and the requirement of a common comparator. Targeted comparisons using Matching Adjusted Indirect Comparison (MAIC) is one possible solution. This presentation delves into statistical and operational logistics of conducting such a comparison and submitting the results to support reimbursement.

Authors who are presenting talks have a * after their name.

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