Description
School of Health and Related Research, HEDS Seminar - David Phillippo (University of Bristol)Abstract: Standard indirect comparisons assume that there is no difference between trial populations in the distribution of effect-modifying variables. Recently proposed methods such as Matching-Adjusted Indirect Comparison (MAIC) and Simulated Treatment Comparison (STC) aim to relax this assumption by using individual patient data from one trial to adjust for imbalances. We review the properties and assumptions of these methods and present recommendations from a recent NICE DSU Technical Support Document.
| Period | 4 Oct 2017 |
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| Held at | University of Sheffield, United Kingdom |
Related content
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Research Outputs
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Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal
Research output: Contribution to journal › Article (Academic Journal) › peer-review
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NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE
Research output: Book/Report › Commissioned report