Using individual participant data to improve network meta-analysis projects

Richard D Riley; Sofia Dias; Sarah Donegan; Jayne F. Tierney; Lesley Stewart; Orestis Efthimiou; David Phillippo

doi:10.1136/bmjebm-2022-111931

Using individual participant data to improve network meta-analysis projects

Richard D Riley, Sofia Dias, Sarah Donegan, Jayne F. Tierney, Lesley Stewart, Orestis Efthimiou, David Phillippo

Centre for Reviews and Dissemination

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

Original language	English
Article number	111931
Number of pages	7
Journal	BMJ Evidence-Based Medicine
Early online date	10 Aug 2022
DOIs	https://doi.org/10.1136/bmjebm-2022-111931
Publication status	E-pub ahead of print - 10 Aug 2022

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10.1136/bmjebm-2022-111931Licence: CC BY

Using individual participant data to improve network meta-analysis projects
© Author(s) (or their employer(s)) 2022
Final published version, 779 KBLicence: CC BY

HOD1: Inferring relative treatment effects from combined randomised and observational data
Dias, S. D. D. S.
MEDICAL RESEARCH COUNCIL (MRC)
1/01/19 → 30/11/22
Project: Research project (funded) › Research

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title = "Using individual participant data to improve network meta-analysis projects",

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AU - Riley, Richard D

AU - Dias, Sofia

AU - Donegan, Sarah

AU - Tierney, Jayne F.

AU - Stewart, Lesley

AU - Efthimiou, Orestis

AU - Phillippo, David

PY - 2022/8/10

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JO - BMJ Evidence-Based Medicine

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Using individual participant data to improve network meta-analysis projects

Bibliographical note

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Projects

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

Cite this