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