ArticleBMC medical research methodology2014
A modified regression method to test publication bias in meta-analyses with binary outcomes.
Article in BMC medical research methodology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 7 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 7 syntheses or guidelines pooled it.
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- Safety of Vitamin K in mechanical heart valve patients with supratherapeutic INR: A systematic review and meta-analysis.Medicine · 2022Pooled it
- Effect of photobiomodulation in secondary intention gingival wound healing-a systematic review and meta-analysis.BMC oral health · 2021Pooled it
- Hybrid test for publication bias in meta-analysis.Statistical methods in medical research · 2020Pooled it
- A call to action for delirium research: Meta-analysis and regression of delirium associated mortality.BMC geriatrics · 2020Pooled it
- Robust Bayesian Model Averaging Meta-Analysis of Menstrual Disorders in COVID-19 Survivors: A Methodological Meta-Analysis Study.Health science reports · 2025Article
- Verification of autoclaving-cooling treatment to increase the resistant starch contents in food starches based on meta-analysis result.Frontiers in nutrition · 2022Article
- Tests for publication bias are unreliable in case of heteroscedasticity.Contemporary clinical trials communications · 2021Article
- The Value of Physiological Scoring Criteria in Predicting the In-Hospital Mortality of Acute Patients; a Systematic Review and Meta-Analysis.Archives of academic emergency medicine · 2021Review
- A Bayesian approach to assessing small-study effects in meta-analysis of a binary outcome with controlled false positive rate.Research synthesis methods · 2020Article
- Treating empyema thoracis using video-assisted thoracoscopic surgery and open decortication procedures: a systematic review and meta-analysis by meta-mums tool.Archives of medical science : AMS · 2019Article
- Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing tests.Research synthesis methods · 2018Article
- International publication trends and collaboration performance of China in healthcare science and services research.Israel journal of health policy research · 2016Article
- Effectiveness of thiamine therapy in mortality rate in patients with septic shock: A systematic review and meta-analysis.International journal of critical illness and injury scienceArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe tendency towards publication bias is greater for observational studies than for randomized clinical trials. Several statistical methods have been developed to test the publication bias. However, almost all existing methods exhibit rather low power or have inappropriate type I error rates.
methodsWe propose a modified regression method, which used a smoothed variance to estimate the precision of a study, to test for publication bias in meta-analyses of observational studies. A comprehensive simulation study is carried out, and a real-world example is considered.
resultsThe simulation results indicate that the performance of tests varies with the number of included studies, level of heterogeneity, event rates, and sample size ratio between two groups. Neither the existing tests nor the newly developed method is particularly powerful in all simulation scenarios. However, our proposed method has a more robust performance across different settings. In the presence of heterogeneity, the arcsine-Thompson test is a suitable alternative, and Peters' test can be considered as a complementary method when mild or no heterogeneity is present.
conclusionsSeveral factors should be taken into consideration when employing asymmetry tests for publication bias. Based on our simulation results, we provide a concise table to show the appropriate use of regression methods to test for publication bias based on our simulation results.
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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.