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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2018-02-16
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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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Mayo-Wilson, Evan, Susan Hutfless, Tianjing Li, Gillian Gresham, Nicole Fusco, Jeffrey Ehmsen, James Heyward, Swaroop Vedula, et al. (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). p. 20. 10.1186/s13195-018-0351-5 Retrieved from https://hdl.handle.net/10161/18573.
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Scholars@Duke
Hwanhee Hong
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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