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 Welton

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 Welton

Research output: Book/Report › Commissioned report

5529 Downloads (Pure)

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
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
Publisher	NICE Decision Support Unit

Access to Document

Full-text PDF (final published version) - Technical Support Document 18
This is the final published version of the article (version of record). It first appeared online via NICE at http://www.nicedsu.org.uk/Populationadjusted-ICs-TSD(3026862).htm. Please refer to any applicable terms of use of the publisher.
Final published version, 1.39 MB
Supplementary information PDF - Appendix D - Worked example of MAIC and STC
This is the final published version of the article (version of record). It first appeared online via NICE at http://www.nicedsu.org.uk/Populationadjusted-ICs-TSD(3026862).htm. Please refer to any applicable terms of use of the publisher.
Final published version, 295 KB
Supplementary information PDF - TSD 18 Appendix D - R code
This is the final published version of the article (version of record). It first appeared online via NICE at http://www.nicedsu.org.uk/Populationadjusted-ICs-TSD(3026862).htm. Please refer to any applicable terms of use of the publisher.
Final published version, 8.53 KB

http://www.nicedsu.org.uk/Populationadjusted-ICs-TSD(3026862).htm

2 Conference Abstract
1 Article (Academic Journal)

Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal
Phillippo, D., Ades, T., Dias, S., Palmer, S., Abrams, K. & Welton, N., 1 Feb 2018, In: Medical Decision Making. 38, 2, p. 200-211 12 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
89 Citations (Scopus)

1011 Downloads (Pure)
Population-adjusted treatment comparisons: Overview of approaches and recommendations from the NICE DSU
Phillippo, D., 27 Mar 2018, (Unpublished).
Research output: Contribution to conference › Conference Abstract
Population-adjusted treatment comparisons: estimates based on Matching-Adjusted Indirect Comparison and Simulated Treatment Comparison
Phillippo, D., Ades, T., Dias, S., Palmer, S., Abrams, K. & Welton, N., 12 Jul 2017.
Research output: Contribution to conference › Conference Abstract › peer-review

Open Access
File

Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data
Author: Phillippo, D. M., 28 Nov 2019
Supervisor: Welton, N. (Supervisor) & Dias, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

File

2 Invited talk
1 Participation in conference
1 Public talk, debate, discussion

64th Biometrisches Kolloquium
David M Phillippo (Invited speaker)
27 Mar 2018
Activity: Participating in or organising an event types › Invited talk
Population-adjusted treatment comparisons: assumptions, properties, and recommendations
David M Phillippo (Speaker)
4 Oct 2017
Activity: Talk or presentation types › Public talk, debate, discussion
38th Annual Conference of the International Society for Clinical Biostatistics
David M Phillippo (Speaker)
12 Jul 2017
Activity: Participating in or organising an event types › Participation in conference

Cite this

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

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.",

author = "David Phillippo and Tony Ades and Sofia Dias and Stephen Palmer and Abrams, {Keith R.} and Nicky Welton",

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Phillippo, D , Ades, T, Dias, S, Palmer, S, Abrams, KR & Welton, N 2016, NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE. Technical Support Documents, vol. 18, NICE Decision Support Unit, Decision Support Unit, ScHARR, University of Sheffield. <http://www.nicedsu.org.uk/Populationadjusted-ICs-TSD(3026862).htm>

NICE DSU Technical Support Document 18 : Methods for population-adjusted indirect comparisons in submissions to NICE. / Phillippo, David ; Ades, Tony; Dias, Sofia; Palmer, Stephen; Abrams, Keith R.; Welton, Nicky.

Decision Support Unit, ScHARR, University of Sheffield : NICE Decision Support Unit, 2016. 81 p. (Technical Support Documents).

Research output: Book/Report › Commissioned report

TY - BOOK

T1 - NICE DSU Technical Support Document 18

T2 - Methods for population-adjusted indirect comparisons in submissions to NICE

AU - Phillippo, David

AU - Ades, Tony

AU - Dias, Sofia

AU - Palmer, Stephen

AU - Abrams, Keith R.

AU - Welton, Nicky

PY - 2016/12/7

Y1 - 2016/12/7

N2 - 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.

AB - 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.

M3 - Commissioned report

VL - 18

T3 - Technical Support Documents

BT - NICE DSU Technical Support Document 18

PB - NICE Decision Support Unit

CY - Decision Support Unit, ScHARR, University of Sheffield

ER -

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

Abstract

Publication series

Access to Document

Fingerprint

Research output

Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal

Population-adjusted treatment comparisons: Overview of approaches and recommendations from the NICE DSU

Population-adjusted treatment comparisons: estimates based on Matching-Adjusted Indirect Comparison and Simulated Treatment Comparison

Student Theses

Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data

Activities

64th Biometrisches Kolloquium

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

38th Annual Conference of the International Society for Clinical Biostatistics

Cite this