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Correction to: Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol for a systematic review.

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Date
2018-02-16
Authors
Mayo-Wilson, Evan
Hutfless, Susan
Li, Tianjing
Gresham, Gillian
Fusco, Nicole
Ehmsen, Jeffrey
Heyward, James
Vedula, Swaroop
Lock, Diana
Haythornthwaite, Jennifer
Payne, Jennifer L
Cowley, Theresa
Tolbert, Elizabeth
Rosman, Lori
Twose, Claire
Stuart, Elizabeth A
Hong, Hwanhee
Doshi, Peter
Suarez-Cuervo, Catalina
Singh, Sonal
Dickersin, Kay
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(21 total)
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Abstract
CORRECTION:The correct title of the article [1] should be "Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol". The article is a protocol for a methodological study, not a systematic review.
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Journal article
Permalink
https://hdl.handle.net/10161/18573
Published Version (Please cite this version)
10.1186/s13195-018-0351-5
Publication Info
Mayo-Wilson, Evan; Hutfless, Susan; Li, Tianjing; Gresham, Gillian; Fusco, Nicole; Ehmsen, Jeffrey; ... Dickersin, Kay (2018). Correction to: Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol for a systematic review. Alzheimer's research & therapy, 10(1). pp. 20. 10.1186/s13195-018-0351-5. Retrieved from https://hdl.handle.net/10161/18573.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Hong

Hwanhee Hong

Assistant Professor of Biostatistics & Bioinformatics
I am interested in developing Bayesian statistical methods for comparative effectiveness research, network meta-analysis, causal inference, measurement error, and generalizability. A flexible Bayesian modeling framework enables us to easily integrate different data sources and borrow information adaptively across them. The ultimate goal of my research is to provide comprehensive evidence from multiple data sources for answering clinical and scientific questions in public health and medicine.
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