Measurement error in meta‐analysis ( MEMA )—A Bayesian framework for continuous outcome data subject to non‐differential measurement error-Reference-Cited by-同舟云学术

Measurement error in meta‐analysis ( MEMA )—A Bayesian framework for continuous outcome data subject to non‐differential measurement error

Published:2021-08-12 Issue:6 Volume:12 Page:796-815
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Res Syn Meth

Author:

Campbell Harlan¹^ORCID,Jong Valentijn M. T.²,Maxwell Lauren³,Jaenisch Thomas³⁴,Debray Thomas P. A.²⁵^ORCID,Gustafson Paul¹

Affiliation:

1. Department of Statistics University of British Columbia Vancouver British Columbia Canada

2. Julius Center for Health Sciences and Primary Care Utrecht University Utrecht The Netherlands

3. Heidelberg Institute for Global Health Heidelberg University Hospital Heidelberg Germany

4. Department of Epidemiology Colorado School of Public Health Aurora Colorado USA

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

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrsm.1515

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