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Activity Number: 617 - Indirect Comparisons of Treatment Effects for Clinical Regulatory and Health Economic Evaluations
Type: Topic Contributed
Date/Time: Thursday, August 2, 2018 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract #330520 Presentation
Title: Matching Adjusted Indirect Comparisons: Sensitivity Analyzes and Graphical Diagnostics
Author(s): Wei Gao* and Vanya Rybkin and Zhiwen Yao and Michael Hellstern and James Signorovitch
Companies: Analysis Group, Inc. and Analysis Group, Inc. and Analysis Group, Inc. and Analysis Group, Inc. and Analysis Group
Keywords: Matching adjusted indirect comparison; sensitivity analysis; graphical diagnostics

Matching adjusted indirect comparisons (MAICs) have been used to compare treatment outcomes across separate clinical trials and to inform health technology assessments. As in any adjusted comparisons of non-randomized treatment groups, an important decision in the design of an MAIC is the set of baseline characteristics used for adjustment. We present analytical and graphical approaches that can be used to help evaluate a priori choices of adjustment factors, and to assess potential for residual confounding. Examples will be provided to illustrate how these analyses can be used to identify sensitivity (or lack of sensitivity) to the choice of adjustment variables in an MAIC. The analyses also help assess the face validity of MAICs (e.g., does the estimated treatment effect move in the expected direction after adjustment) and help identify baseline characteristics for which adjustment increases uncertainty without substantially impacting estimated treatment effects.

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

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