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• W2764275027 abstract "Network meta-analysis has evolved into a core method for evidence synthesis in health care. In network meta-analysis, 3 or more treatments for a given medical condition are compared, based on a number of clinical studies, usually randomized controlled trials. Often, many different endpoints are investigated, related to different aspects of the patient's outcome, such as efficacy, safety, acceptability, or costs of a treatment. Different outcomes may lead to different rankings of the treatments. We use the existing theory of partially ordered sets and show how the relations between the treatments in a network meta-analysis can be illustrated by Hasse diagrams, that is, directed graphs showing the partial order relations, and by structured scatter plots and biplots." @default.
• W2764275027 created "2017-10-20" @default.
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• W2764275027 date "2017-10-17" @default.
• W2764275027 modified "2023-10-17" @default.
• W2764275027 title "Resolve conflicting rankings of outcomes in network meta‐analysis: Partial ordering of treatments" @default.
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• W2764275027 doi "https://doi.org/10.1002/jrsm.1270" @default.
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• W2764275027 hasPublicationYear "2017" @default.
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