SynthesisStatistical methods in medical research2012
Bivariate random effects models for meta-analysis of comparative studies with binary outcomes: methods for the absolute risk difference and relative risk.
Synthesis in Statistical methods in medical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 10 of them syntheses that pooled it.
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
42 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- Accuracy of Cytological Methods in Early Detection of Oral Squamous Cell Carcinoma and Potentially Malignant Disorders: A Systematic Review and Meta-Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2025Pooled it
- Adding caplacizumab to standard of care in thrombotic thrombocytopenic purpura: a systematic review and meta-analysis.Blood advances · 2023Pooled it
- The normality assumption on between-study random effects was questionable in a considerable number of Cochrane meta-analyses.BMC medicine · 2023Pooled it
- A Bayesian model for combining standardized mean differences and odds ratios in the same meta-analysis.Journal of biopharmaceutical statistics · 2023Pooled it
- Accounting for publication bias using a bivariate trim and fill meta-analysis procedure.Statistics in medicine · 2022Pooled it
- Splenectomy versus Imaging-Guided Percutaneous Drainage for Splenic Abscess: A Systematic Review and Meta-Analysis.Surgical infections · 2022Pooled it
- A penalization approach to random-effects meta-analysis.Statistics in medicine · 2022Pooled it
- Controversy and Debate: Questionable utility of the relative risk in clinical research: Paper 2: Is the Odds Ratio "portable" in meta-analysis? Time to consider bivariate generalized linear mixed model.Journal of clinical epidemiology · 2022Pooled it
- Controversy and Debate : Questionable utility of the relative risk in clinical research: Paper 4 :Odds Ratios are far from "portable" - A call to use realistic models for effect variation in meta-analysis.Journal of clinical epidemiology · 2022Pooled it
- Cardiac Computed Tomography Versus Transesophageal Echocardiography for the Detection of Left Atrial Appendage Thrombus: A Systemic Review and Meta-Analysis.Journal of the American Heart Association · 2021Pooled it
- Comparison of Different Methods for the Meta-Analysis of Diagnostic Test Accuracy Studies-A Simulation Study.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Diagnostic Accuracy of Tests for Hymenoptera Venom Hypersensitivity: A Systematic Review and Bayesian Meta-Analysis Protocol.Health science reports · 2026Article
- ZIBGLMM: Zero-inflated bivariate generalized linear mixed model for meta-analysis with double-zero-event studies.Research synthesis methods · 2025Article
- The Role of Double-Zero-Event Studies in Evidence Synthesis: Evaluating Robustness Using the Fragility Index.Journal of evaluation in clinical practice · 2025Article
- Choice of Link Functions for Generalized Linear Mixed Models in Meta-Analyses of Proportions.Research methods in medicine & health sciences · 2025Article
- Variability of relative treatment effect among populations with low, moderate and high control group event rates: a meta-epidemiological study.BMC medical research methodology · 2024Article
- Assessment of inverse publication bias in safety outcomes: an empirical analysis.BMC medicine · 2024Article
- Methods for assessing inverse publication bias of adverse events.Contemporary clinical trials · 2024Article
- Tipping point analysis for the between-arm correlation in an arm-based evidence synthesis.BMC medical research methodology · 2024Article
- Measuring the impact of zero-cases studies in evidence synthesis practice using the harms index and benefits index (Hi-Bi).BMC medical research methodology · 2023Article
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
Multivariate meta-analysis is increasingly utilised in biomedical research to combine data of multiple comparative clinical studies for evaluating drug efficacy and safety profile. When the probability of the event of interest is rare, or when the individual study sample sizes are small, a substantial proportion of studies may not have any event of interest. Conventional meta-analysis methods either exclude such studies or include them through ad hoc continuality correction by adding an arbitrary positive value to each cell of the corresponding 2 × 2 tables, which may result in less accurate conclusions. Furthermore, different continuity corrections may result in inconsistent conclusions. In this article, we discuss a bivariate Beta-binomial model derived from Sarmanov family of bivariate distributions and a bivariate generalised linear mixed effects model for binary clustered data to make valid inferences. These bivariate random effects models use all available data without ad hoc continuity corrections, and accounts for the potential correlation between treatment (or exposure) and control groups within studies naturally. We then utilise the bivariate random effects models to reanalyse two recent meta-analysis data sets.
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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.