Combining randomized and non-randomized evidence in network meta-analysis-Reference-Cited by-同舟云学术

Combining randomized and non-randomized evidence in network meta-analysis

Published:2017-01-12 Issue:8 Volume:36 Page:1210-1226
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Efthimiou Orestis¹,Mavridis Dimitris¹²,Debray Thomas P. A.³⁴^ORCID,Samara Myrto⁵,Belger Mark⁶,Siontis George C. M.⁷,Leucht Stefan⁵,Salanti Georgia¹⁸⁹,

Affiliation:

1. Department of Hygiene and Epidemiology; University of Ioannina School of Medicine; Ioannina Greece

2. Department of Primary Education; University of Ioannina; Ioannina Greece

3. Julius Center for Health Sciences and Primary Care; University Medical Center Utrecht; Utrecht The Netherlands

4. Cochrane Netherlands, Julius Center for Health Sciences and Primary Care; University Medical Center Utrecht; Utrecht The Netherlands

5. Department of Psychiatry and Psychotherapy; Technische Universität München; München Germany

6. Eli Lilly and Company; Lilly Research Centre; Windlesham U.K.

7. Department of Cardiology; Bern University Hospital; Bern Switzerland

8. Institute of Social and Preventive Medicine; University of Bern; Bern Switzerland

9. Berner Institut für Hausarztmedizin (BIHAM); University of Bern; Bern Switzerland

Funder

Innovative Medicines Initiative Joint Undertaking

European Union's Seventh Framework Programme

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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3. Faria R Hernadez Alava M Manca A Wailoo AJ The use of observational data to inform estimates of treatment effectiveness in technology appraisal: methods for comparative individual patient data NICE DSU technical support document 17 2015 http://www.nicedsu.org.uk/Observational-data-TSD (2973296).htm

4. Network meta-analysis incorporating randomized controlled trials and non-randomized comparative cohort studies for assessing the safety and effectiveness of medical treatments: challenges and opportunities;Cameron;Systematic Reviews,2015

5. Bell H Wailoo AJ Hernandez M Grieve R Faria R Gibson L Grimm S The use of real world data for the estimation of treatment effects in NICE decision making NICE DSU technical support document 2016 http://www.nicedsu.org.uk/Real-World-Data-RWD (3026863).htm

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