Hypothesis testing in Bayesian network meta-analysis
Network meta-analysis is an extension of the classical pairwise meta-analysis and allows to compare multiple interventions based on both head-to-head comparisons within trials and indirect comparisons across trials. Bayesian or frequentist models are applied to obtain effect estimates with credible...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
12 November 2018
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| In: |
BMC medical research methodology
Year: 2018, Volume: 18 |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-018-0574-y |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1186/s12874-018-0574-y Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12874-018-0574-y 
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| Author Notes: | Lorenz Uhlmann, Katrin Jensen and Meinhard Kieser |
| Summary: | Network meta-analysis is an extension of the classical pairwise meta-analysis and allows to compare multiple interventions based on both head-to-head comparisons within trials and indirect comparisons across trials. Bayesian or frequentist models are applied to obtain effect estimates with credible or confidence intervals. Furthermore, p-values or similar measures may be helpful for the comparison of the included arms but related methods are not yet addressed in the literature. In this article, we discuss how hypothesis testing can be done in a Bayesian network meta-analysis. |
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| Item Description: | Gesehen am 23.11.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-018-0574-y |