Population-adjusted treatment comparisons: assumptions, properties, and recommendations

Activity: Talk or presentation typesPublic talk, debate, discussion


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.
Period4 Oct 2017
Held at University of Sheffield, United Kingdom