SynthesisStatistical methods in medical research2018
Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferences.
Synthesis in Statistical methods in medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Predictive values of procalcitonin for coinfections in patients with COVID-19: a systematic review and meta-analysis.Virology journal · 2023Pooled it
- Incorporating historical control information in ANCOVA models using the meta-analytic-predictive approach.Research synthesis methods · 2022Pooled it
- Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews.Systematic reviews · 2022Pooled it
- A New Frequentist Implementation of the Daniels and Hughes Bivariate Meta-Analysis Model for Surrogate Endpoint Evaluation.Biometrical journal. Biometrische Zeitschrift · 2025Article
- Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: Application to a melanoma network.Statistical methods in medical research · 2022Article
- A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes.Statistical methods in medical research · 2019Article
- Bivariate network meta-analysis for surrogate endpoint evaluation.Statistics in medicine · 2019Article
- Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar models.Research synthesis methods · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Multivariate random-effects meta-analysis allows the joint synthesis of correlated results from multiple studies, for example, for multiple outcomes or multiple treatment groups. In a Bayesian univariate meta-analysis of one endpoint, the importance of specifying a sensible prior distribution for the between-study variance is well understood. However, in multivariate meta-analysis, there is little guidance about the choice of prior distributions for the variances or, crucially, the between-study correlation, ρ
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.