An overview of methods for network meta-analysis using individual participant data: when do benefits arise?
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Title
An overview of methods for network meta-analysis using individual participant data: when do benefits arise?
Authors
Keywords
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Journal
STATISTICAL METHODS IN MEDICAL RESEARCH
Volume 27, Issue 5, Pages 1351-1364
Publisher
SAGE Publications
Online
2016-08-04
DOI
10.1177/0962280216660741
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- (2013) Sofia Dias et al. MEDICAL DECISION MAKING
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- (2012) Ian R. White et al. Research Synthesis Methods
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- (2011) C. Elizabeth McCarron et al. PLoS One
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- (2011) Dan Jackson et al. STATISTICS IN MEDICINE
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- (2009) Georgia Salanti et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
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- (2009) Nicola J. Cooper et al. STATISTICS IN MEDICINE
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- (2007) Richard D. Riley et al. STATISTICS IN MEDICINE
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