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Inter-rater reliability and concurrent validity of ROBINS-I: protocol for a cross-sectional study
16 references·2 citing·40 second hop
Inter-rater reliability and concurrent validity of ROBINS-I: protocol for a cross-sectional study (2020)Inter-rater reliability and concurrent va…GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence (2018)GRADE guidelines: 18. How ROB…ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)ROBINS-I: a tool for assessin…ROBIS: A new tool to assess risk of bias in systematic reviews was developed (2015)ROBIS: A new tool to assess r…The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses (2014)The Newcastle-Ottawa Scale (N…A comparison of Cohen’s Kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples (2013)A comparison of Cohen’s Kappa…The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The Cochrane Collaboration's …Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography (2007)Tools for assessing quality a…Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)Strengthening the Reporting o…Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies (2007)Strengthening the reporting o…A Psychometric Toolbox for Testing Validity and Reliability (2007)A Psychometric Toolbox for Te…Current Concepts in Validity and Reliability for Psychometric Instruments: Theory and Application (2006)Current Concepts in Validity …Computing inter‐rater reliability and its variance in the presence of high agreement (2006)Computing inter‐rater reliabi…The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. (1998)The feasibility of creating a…The Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Weighted kappa: Nominal scale…A NEW MEASURE OF RANK CORRELATION (1938)A NEW MEASURE OF RANK CORRELA…Inter-Rater Agreement in Assessing Risk of Bias in Melanoma Prediction Studies Using the Prediction Model Risk of Bias Assessment Tool (PROBAST): Results from a Controlled Experiment on the Effect of Specific Rater Training (2023)Inter-Rater Agreement in Asse…Customized guidance/training improved the psychometric properties of methodologically rigorous risk of bias instruments for non-randomized studies (2021)Customized guidance/training …Theory of Mental Tests (1950)Theory and Methods of Scaling (1958)A Coefficient of Agreement for Nominal Scales (1960)Measuring nominal scale agreement among many raters. 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(2009)Summarizing systematic reviews (2015)Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (2018)PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2018)An effect size primer: A guide for clinicians and researchers. (2009)Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data (2011)Econometric measures of connectedness and systemic risk in the finance and insurance sectors (2012)Systematic reviews in the social sciences: a practical guide (2006)Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses (2010)
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References

  • 1977The Measurement of Observer Agreement for Categorical Data81,000 cited
  • 2011The Cochrane Collaboration's tool for assessing risk of bias in randomised trials33,776 cited
  • 2016ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions20,225 cited
  • 2014The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses17,633 cited
  • 2007Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies10,709 cited
  • 1968Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.8,719 cited
  • 1998The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.8,247 cited
  • 1938A NEW MEASURE OF RANK CORRELATION7,315 cited
  • 2007Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration3,542 cited
  • 2015ROBIS: A new tool to assess risk of bias in systematic reviews was developed2,266 cited
  • 2006Computing inter‐rater reliability and its variance in the presence of high agreement2,139 cited
  • 2007A Psychometric Toolbox for Testing Validity and Reliability1,890 cited
  • 2006Current Concepts in Validity and Reliability for Psychometric Instruments: Theory and Application1,738 cited

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  • 2007Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography1,532 cited
  • 2013A comparison of Cohen’s Kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples1,021 cited
  • 2018GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence907 cited
  • Cited by

    • 2023Inter-Rater Agreement in Assessing Risk of Bias in Melanoma Prediction Studies Using the Prediction Model Risk of Bias Assessment Tool (PROBAST): Results from a Controlled Experiment on the Effect of Specific Rater Training16 cited
    • 2021Customized guidance/training improved the psychometric properties of methodologically rigorous risk of bias instruments for non-randomized studies7 cited