ArticleBayesian analysis2019
Joining and splitting models with Markov melding.
Article in Bayesian analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Modeling Heterogeneity in Health Risk Behaviors With a Dynamic Mixture Model Informed by Textual Occupational Data.Statistics in medicine · 2026Article
- CBMR: Coordinate-based meta-regression for group and covariate inference.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Neuroimaging meta regression for coordinate based meta analysis data with a spatial model.Biostatistics (Oxford, England) · 2024Article
- Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records.Nature communications · 2024Article
- Reverse-Bayes methods for evidence assessment and research synthesis.Research synthesis methods · 2022Review
- Interoperability of statistical models in pandemic preparedness: principles and reality.Statistical science : a review journal of the Institute of Mathematical Statistics · 2022Article
- Combining chains of Bayesian models with Markov melding.Bayesian analysis · 2022Article
- A numerically stable algorithm for integrating Bayesian models using Markov melding.Statistics and computing · 2022Article
- Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort.Frontiers in big data · 2021Review
- MultiBUGS: A Parallel Implementation of the BUGS Modelling Framework for Faster Bayesian Inference.Journal of statistical software · 2020Article
- Evidence Synthesis for Stochastic Epidemic Models.Statistical science : a review journal of the Institute of Mathematical Statistics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Analysing multiple evidence sources is often feasible only via a modular approach, with separate submodels specified for smaller components of the available evidence. Here we introduce a generic framework that enables fully Bayesian analysis in this setting. We propose a generic method for forming a suitable joint model when
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What OpenQuestion holds
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.