Activities per year
Abstract
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 language | English |
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Place of Publication | Decision Support Unit, ScHARR, University of Sheffield |
Publisher | NICE Decision Support Unit |
Number of pages | 81 |
Volume | 18 |
Publication status | Published - 7 Dec 2016 |
Publication series
Name | Technical Support Documents |
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Publisher | NICE Decision Support Unit |
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Student Theses
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Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data
Author: Phillippo, D. M., 28 Nov 2019Supervisor: Welton, N. (Supervisor) & Dias, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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Activities
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64th Biometrisches Kolloquium
David M Phillippo (Invited speaker)
27 Mar 2018Activity: Participating in or organising an event types › Invited talk
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Population-adjusted treatment comparisons: assumptions, properties, and recommendations
David M Phillippo (Speaker)
4 Oct 2017Activity: Talk or presentation types › Public talk, debate, discussion
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38th Annual Conference of the International Society for Clinical Biostatistics
David M Phillippo (Speaker)
12 Jul 2017Activity: Participating in or organising an event types › Participation in conference