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Comparison of bias adjustment methods in meta-analysis suggests that quality effects modeling may have less limitations than other approaches
16 references·7 citing·33 second hop
Comparison of bias adjustment methods in meta-analysis suggests that quality effects modeling may have less limitations than other approaches (2019)Comparison of bias adjustment methods in …The Handbook of Research Synthesis and Meta-Analysis (2019)The Handbook of Research Synt…Cochrane Handbook for Systematic Reviews of Interventions (2019)Cochrane Handbook for Systema…A new improved graphical and quantitative method for detecting bias in meta-analysis (2018)A new improved graphical and …The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The Cochrane Collaboration's …Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials (2011)Recommendations for examining…GRADE guidelines: 4. Rating the quality of evidence—study limitations (risk of bias) (2011)GRADE guidelines: 4. Rating t…Robust variance estimation in meta‐regression with dependent effect size estimates (2010)Robust variance estimation in…Measuring inconsistency in meta-analyses (2003)Measuring inconsistency in me…How should meta‐regression analyses be undertaken and interpreted? (2002)How should meta‐regression an…Assessing the quality of controlled clinical trials (2001)Assessing the quality of cont…The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis (1999)The Hazards of Scoring the Qu…Does quality of reports of randomised trials affect estimates of intervention efficacy reported in meta-analyses? (1998)Does quality of reports of ra…Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Empirical evidence of bias. D…Empirical Evidence of Bias (1995)Empirical Evidence of BiasAssessing the quality of randomized controlled trials: An annotated bibliography of scales and checklists (1995)Assessing the quality of rand…QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1 (1987)QUANTITATIVE METHODS IN THE R…Examining and Interpreting Doi Plot Asymmetry in Meta‐Analyses of Randomized Controlled Trials (2025)Examining and Interpreting Do…MASTER scale for methodological quality assessment: Reliability assessment and update (2024)MASTER scale for methodologic…How should we handle predatory journals in evidence synthesis? A descriptive survey‐based cross‐sectional study of evidence synthesis experts (2023)How should we handle predator…A robust Bayesian bias‐adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis (2022)A robust Bayesian bias‐adjust…Methodological issues of systematic reviews and meta-analyses in the field of sleep medicine: A meta-epidemiological study (2021)Methodological issues of syst…Dynamic meta-analysis: a method of using global evidence for local decision making (2021)Dynamic meta-analysis: a meth…Bias Assessment in Outcomes Research: The Role of Relative Versus Absolute Approaches (2021)Bias Assessment in Outcomes R…Principles and Practice of Structural Equation Modeling (1998)Quantifying heterogeneity in a meta‐analysis (2002)Cochrane Handbook for Systematic Reviews of Interventions (2008)Conducting Meta-Analyses in R with the metafor Package (2010)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The CONSORT Statement: Revised Recommendations for Improving the Quality of Reports of Parallel-Group Randomized Trials (2001)The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews (2003)Methods for the thematic synthesis of qualitative research in systematic reviews (2008)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The file drawer problem and tolerance for null results. 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References

  • 2003Measuring inconsistency in meta-analyses63,086 cited
  • 2011The Cochrane Collaboration's tool for assessing risk of bias in randomised trials33,776 cited
  • 2019Cochrane Handbook for Systematic Reviews of Interventions14,763 cited
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  • 2019The Handbook of Research Synthesis and Meta-Analysis4,525 cited
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  • 2001Assessing the quality of controlled clinical trials3,309 cited
  • 2002How should meta‐regression analyses be undertaken and interpreted?3,021 cited
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  • 2010Robust variance estimation in meta‐regression with dependent effect size estimates2,081 cited
  • 1999The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis1,981 cited
  • 1987QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE11,637 cited

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  • 1995Assessing the quality of randomized controlled trials: An annotated bibliography of scales and checklists1,306 cited
  • 2018A new improved graphical and quantitative method for detecting bias in meta-analysis1,155 cited
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    • 2021Bias Assessment in Outcomes Research: The Role of Relative Versus Absolute Approaches30 cited
    • 2025Examining and Interpreting Doi Plot Asymmetry in Meta‐Analyses of Randomized Controlled Trials24 cited
    • 2023How should we handle predatory journals in evidence synthesis? A descriptive survey‐based cross‐sectional study of evidence synthesis experts21 cited
    • 2024MASTER scale for methodological quality assessment: Reliability assessment and update14 cited
    • 2022A robust Bayesian bias‐adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis11 cited