NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE

David Phillippo, Tony Ades, Sofia Dias, Stephen Palmer, Keith R. Abrams, Nicky J. Welton

Research output: Book/ReportCommissioned report


This Technical Support Document examines methods for population-adjusted indirect comparisons, in which individual patient data (IPD) in one or more trials are used to adjust for between-trial differences in the distribution of variables that influence outcome. Recently proposed methods are the Matching-Adjusted Indirect Comparison (MAIC) and the Simulated Treatment Comparison (STC). We look at the theory behind MAIC and STC methods, review published applications, briefly touch on alternative methods, and make recommendations on the use of population-adjusted estimates in submissions to NICE.
Original languageEnglish
PublisherNICE Decision Support Unit
Publication statusPublished - 1 Dec 2016

Publication series

NameTechnical Support Documents
PublisherNICE Decision Support Unit

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