Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study

David Phillippo; Sofia Dias; A E Ades; N J Welton

doi:10.1002/sim.8759

Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study

David Phillippo, Sofia Dias, A E Ades, N J Welton

Centre for Reviews and Dissemination

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	4885-4911
Journal	Statistics in Medicine
Volume	39
Issue number	30
Early online date	4 Oct 2020
DOIs	https://doi.org/10.1002/sim.8759
Publication status	Published - 15 Dec 2020

Bibliographical note

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10.1002/sim.8759Licence: CC BY

sim.8759
© 2020 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.
Final published version, 4.35 MBLicence: CC BY

2 Finished

HOD1: Inferring relative treatment effects from combined randomised and observational data
Dias, S. D. D. S. (Principal investigator)
MEDICAL RESEARCH COUNCIL (MRC)
1/01/19 → 30/11/22
Project: Research project (funded) › Research
Calibration of multiple treatment comparisons using individual patient data
Dias, S. D. D. S.
MEDICAL RESEARCH COUNCIL (MRC)
1/10/18 → 29/02/20
Project: Research project (funded) › Research

Cite this

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title = "Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study",

author = "David Phillippo and Sofia Dias and Ades, {A E} and Welton, {N J}",

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AU - Phillippo, David

AU - Dias, Sofia

AU - Ades, A E

AU - Welton, N J

PY - 2020/12/15

Y1 - 2020/12/15

U2 - 10.1002/sim.8759

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EP - 4911

JO - Statistics in Medicine

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ER -

Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study

Bibliographical note

Access to Document

Projects

HOD1: Inferring relative treatment effects from combined randomised and observational data

Calibration of multiple treatment comparisons using individual patient data

Cite this