Modeling between-trial variance structure in mixed treatment comparisons

DOI10.1093/biostatistics/kxp032zbMath1437.62544OpenAlexW2160652035WikidataQ45817322 ScholiaQ45817322MaRDI QIDQ3305003

Ae Ades, Guobing Lu

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxp032

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (6)

Network meta-analysis: a statistical physics perspective ⋮ Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors ⋮ A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests ⋮ PALM: patient-centered treatment ranking via large-scale multivariate network meta-analysis ⋮ When should meta‐analysis avoid making hidden normality assumptions? ⋮ Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis

Cites Work

• Unnamed Item
• Bartlett's decomposition of the posterior distribution of the covariance for normal monotone ignorable missing data
• Best equivariant estimators of a Cholesky decomposition
• Bayesian inference for a covariance matrix
• Estimation of a covariance matrix using the reference prior
• Estimation of the multivariate normal precision and covariance matrices in a star-shape model
• Generation of Random Orthogonal Matrices
• Nonconjugate Bayesian Estimation of Covariance Matrices and Its Use in Hierarchical Models
• Assessing Evidence Inconsistency in Mixed Treatment Comparisons
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

This page was built for publication: Modeling between-trial variance structure in mixed treatment comparisons