Matches in SemOpenAlex for { <https://semopenalex.org/work/W4233485018> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4233485018 endingPage "610" @default.
- W4233485018 startingPage "610" @default.
- W4233485018 abstract "<ns4:p>In network meta-analysis, it is important to assess the influence of the limitations or other characteristics of individual studies on the estimates obtained from the network. The percentage contribution matrix, which shows how much each direct treatment effect contributes to each treatment effect estimate from network meta-analysis, is crucial in this context. We use ideas from graph theory to derive the percentage that is contributed by each direct treatment effect. We start with the ‘projection’ matrix in a two-step network meta-analysis model, called the <ns4:italic><ns4:bold>H </ns4:bold></ns4:italic>matrix, which is analogous to the hat matrix in a linear regression model. We develop a method to translate <ns4:bold><ns4:italic>H </ns4:italic></ns4:bold>entries to percentage contributions based on the observation that the rows of <ns4:bold><ns4:italic>H</ns4:italic></ns4:bold> can be interpreted as flow networks, where a stream is defined as the composition of a path and its associated flow. We present an algorithm that identifies the flow of evidence in each path and decomposes it into direct comparisons. To illustrate the methodology, we use two published networks of interventions. The first compares no treatment, quinolone antibiotics, non-quinolone antibiotics and antiseptics for underlying eardrum perforations and the second compares 14 antimanic drugs. We believe that this approach is a useful and novel addition to network meta-analysis methodology, which allows the consistent derivation of the percentage contributions of direct evidence from individual studies to network treatment effects.</ns4:p>" @default.
- W4233485018 created "2022-05-12" @default.
- W4233485018 creator A5004061621 @default.
- W4233485018 creator A5019261801 @default.
- W4233485018 creator A5075375056 @default.
- W4233485018 creator A5084243012 @default.
- W4233485018 creator A5088217633 @default.
- W4233485018 creator A5089941167 @default.
- W4233485018 creator A5090381428 @default.
- W4233485018 date "2018-05-18" @default.
- W4233485018 modified "2023-10-10" @default.
- W4233485018 title "Estimating the contribution of studies in network meta-analysis: paths, flows and streams" @default.
- W4233485018 cites W1495967812 @default.
- W4233485018 cites W1553634011 @default.
- W4233485018 cites W1866897735 @default.
- W4233485018 cites W2035613798 @default.
- W4233485018 cites W2074147400 @default.
- W4233485018 cites W2121594817 @default.
- W4233485018 cites W2147700937 @default.
- W4233485018 cites W2157331451 @default.
- W4233485018 cites W2586588898 @default.
- W4233485018 cites W4365786608 @default.
- W4233485018 doi "https://doi.org/10.12688/f1000research.14770.1" @default.
- W4233485018 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30338058" @default.
- W4233485018 hasPublicationYear "2018" @default.
- W4233485018 type Work @default.
- W4233485018 citedByCount "22" @default.
- W4233485018 countsByYear W42334850182019 @default.
- W4233485018 countsByYear W42334850182020 @default.
- W4233485018 countsByYear W42334850182021 @default.
- W4233485018 countsByYear W42334850182022 @default.
- W4233485018 countsByYear W42334850182023 @default.
- W4233485018 crossrefType "journal-article" @default.
- W4233485018 hasAuthorship W4233485018A5004061621 @default.
- W4233485018 hasAuthorship W4233485018A5019261801 @default.
- W4233485018 hasAuthorship W4233485018A5075375056 @default.
- W4233485018 hasAuthorship W4233485018A5084243012 @default.
- W4233485018 hasAuthorship W4233485018A5088217633 @default.
- W4233485018 hasAuthorship W4233485018A5089941167 @default.
- W4233485018 hasAuthorship W4233485018A5090381428 @default.
- W4233485018 hasBestOaLocation W42334850181 @default.
- W4233485018 hasConcept C151730666 @default.
- W4233485018 hasConcept C2779343474 @default.
- W4233485018 hasConcept C86803240 @default.
- W4233485018 hasConceptScore W4233485018C151730666 @default.
- W4233485018 hasConceptScore W4233485018C2779343474 @default.
- W4233485018 hasConceptScore W4233485018C86803240 @default.
- W4233485018 hasLocation W42334850181 @default.
- W4233485018 hasLocation W42334850182 @default.
- W4233485018 hasLocation W42334850183 @default.
- W4233485018 hasLocation W42334850184 @default.
- W4233485018 hasOpenAccess W4233485018 @default.
- W4233485018 hasPrimaryLocation W42334850181 @default.
- W4233485018 hasRelatedWork W1641042124 @default.
- W4233485018 hasRelatedWork W1990804418 @default.
- W4233485018 hasRelatedWork W1993764875 @default.
- W4233485018 hasRelatedWork W2013243191 @default.
- W4233485018 hasRelatedWork W2051339581 @default.
- W4233485018 hasRelatedWork W2082860237 @default.
- W4233485018 hasRelatedWork W2117258802 @default.
- W4233485018 hasRelatedWork W2130076355 @default.
- W4233485018 hasRelatedWork W2151865869 @default.
- W4233485018 hasRelatedWork W2928062689 @default.
- W4233485018 hasVolume "7" @default.
- W4233485018 isParatext "false" @default.
- W4233485018 isRetracted "false" @default.
- W4233485018 workType "article" @default.