Network meta-analysis of disconnected networks: How dangerous are random baseline treatment effects?
Author:
Affiliation:
1. Department of Statistics; University of British Columbia; Vancouver BC Canada
2. ICON plc; Vancouver BC Canada
3. Department of Epidemiology, Biostatistics and Occupational Health; McGill University; Montreal QC Canada
Funder
Fonds de Recherche du Québec-Nature et technologies
Fonds de Recherche du Québec-Santé
Natural Sciences and Engineering Research Council of Canada
Publisher
Wiley
Subject
Education
Reference18 articles.
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2. Combination of direct and indirect evidence in mixed treatment comparisons;Lu;Stat Med,2004
3. Disconnected by design: analytic approach in treatment networks having no common comparator;Goring;Res Synth Methods,2016
4. Absolute or relative effects? Arm-based synthesis of trial data;Dias;Res Synth Methods,2016
5. Rejoinder to the discussion of “a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons,” by S. Dias and A E. Ades;Hong;Res Synth Methods,2016
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2. Model selection for component network meta-analysis in connected and disconnected networks: a simulation study;BMC Medical Research Methodology;2023-06-14
3. Connecting a disconnected trial network with a new trial: optimizing the estimation of a comparative effect in a network meta-analysis;BMC Medical Research Methodology;2023-04-03
4. A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package;Multivariate Behavioral Research;2022-10-18
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