Network meta-analyses in reproductive medicine: challenges and opportunities
Field | Value | Language |
dc.contributor.author | Wang, Rui | |
dc.contributor.author | Seidler, Anna Lene | |
dc.contributor.author | Askie, Lisa | |
dc.contributor.author | Norman, Robert J | |
dc.contributor.author | Bhattacharya, Siladitya | |
dc.contributor.author | van Wely, Madelon | |
dc.contributor.author | Mol, Ben Willem | |
dc.date.accessioned | 2021-03-23T03:40:22Z | |
dc.date.available | 2021-03-23T03:40:22Z | |
dc.date.issued | 2020 | en_AU |
dc.identifier.uri | https://hdl.handle.net/2123/24707 | |
dc.description.abstract | Abstract Network meta-analysis allows researchers to synthesise both direct and indirect evidence, thus enabling simultaneous comparisons of multiple treatments. A relatively recent addition to evidence synthesis in reproductive medicine, this approach has become increasingly popular. Yet, the underlying assumptions of network meta-analyses, which drive the validity of their findings, have been frequently ignored. In this article, we discuss the strengths and limitations of network meta-analyses. In addition, we present an overview of published network meta-analyses in reproductive medicine, summarize their challenges and provide insights into future research opportunities. | en_AU |
dc.language.iso | en | en_AU |
dc.publisher | Human Reproductions | en_AU |
dc.rights | Copyright All Rights Reserved | en_AU |
dc.title | Network meta-analyses in reproductive medicine: challenges and opportunities | en_AU |
dc.type | Article | en_AU |
dc.identifier.doi | 10.1093/humrep/deaa126 | |
usyd.faculty | SeS faculties schools::Faculty of Medicine and Health::NHMRC Clinical Trials Centre | en_AU |
workflow.metadata.only | No | en_AU |
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