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A confidence interval approach to sample size estimation for interobserver agreement studies with multiple raters and outcomes
14 references·7 citing·35 second hop
A confidence interval approach to sample size estimation for interobserver agreement studies with multiple raters and outcomes (2012)A confidence interval approach to sample …Sample Size Requirements for Interval Estimation of the Kappa Statistic for Interobserver Agreement Studies with a Binary Outcome and Multiple Raters (2010)Sample Size Requirements for …Review of: Pijpers, Guus. Information overload. A system for better managing everyday data. Hoboken, NJ: John Wiley and Sons, Inc., 2010. (2010)Review of: Pijpers, Guus. Inf…Understanding interobserver agreement: the kappa statistic. (2005)Understanding interobserver a…The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements (2005)The Kappa Statistic in Reliab…Validity of nutritional screening and assessment tools (2004)Validity of nutritional scree…Inference Procedures for Assessing Interobserver Agreement among Multiple Raters (2001)Inference Procedures for Asse…A general goodness‐of‐fit approach for inference procedures concerning the kappa statistic (2001)A general goodness‐of‐fit app…Sample size requirements for interval estimation of the intraclass kappa statistic (1999)Sample size requirements for …Measurement reliability and agreement in psychiatry (1998)Measurement reliability and a…A goodness‐of‐fit approach to inference procedures for the kappa statistic: Confidence interval construction, significance‐testing and sample size estimation (1992)A goodness‐of‐fit approach to…Another look at interrater agreement. (1988)Another look at interrater ag…The Cost of Dichotomization (1983)The Cost of DichotomizationThe Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…Comparing the Classification of Subjects by Two Independent Judges (1970)Comparing the Classification …Clinical Validation of Novel Digital Measures: Statistical Methods for Reliability Evaluation (2023)Clinical Validation of Novel …ChatGPT for assessing risk of bias of randomized trials using the RoB 2.0 tool: A methods study (2023)ChatGPT for assessing risk of…Gender differences in citation sentiment: A case study in life sciences and biomedicine (2022)Gender differences in citatio…Evolution of professionals' careers upon graduation in STEM and occupational turnover over time: Patterns, diversity characteristics, career success, and self‐employment (2022)Evolution of professionals' c…Comparison of different rating scales for the use in Delphi studies: different scales lead to different consensus and show different test-retest reliability (2020)Comparison of different ratin…CHIMERAS showed better inter-rater reliability and inter-consensus reliability than GRADE in grading quality of evidence: A randomized controlled trial (2018)CHIMERAS showed better inter-…An extension of STARD statements for reporting diagnostic accuracy studies on liver fibrosis tests: The Liver-FibroSTARD standards (2014)An extension of STARD stateme…A Coefficient of Agreement for Nominal Scales (1960)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. 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(2015)New WHO prevalence estimates of mental disorders in conflict settings: a systematic review and meta-analysis (2019)Akufo and Ibarapa (1965)Coming to consensus: the Delphi technique (2021)How Delphi studies in the health sciences find consensus: a scoping review (2025)Revisiting the Delphi technique - Research thinking and practice: A discussion paper (2025)Measuring nominal scale agreement among many raters. (1971)Nomogram for sample size calculation on a straightforward basis for the kappa statistic (2014)Measuring Interrater Reliability (2023)
this work references cited by second hop

References

  • 1977The Measurement of Observer Agreement for Categorical Data81,603 cited
  • 2005Understanding interobserver agreement: the kappa statistic.7,009 cited
  • 2005The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements4,094 cited
  • 1983The Cost of Dichotomization1,561 cited
  • 1998Measurement reliability and agreement in psychiatry1,216 cited
  • 1992A goodness‐of‐fit approach to inference procedures for the kappa statistic: Confidence interval construction, significance‐testing and sample size estimation271 cited
  • 1970Comparing the Classification of Subjects by Two Independent Judges257 cited
  • 1988Another look at interrater agreement.239 cited
  • 2010Sample Size Requirements for Interval Estimation of the Kappa Statistic for Interobserver Agreement Studies with a Binary Outcome and Multiple Raters120 cited
  • 2004Validity of nutritional screening and assessment tools90 cited
  • 2001A general goodness‐of‐fit approach for inference procedures concerning the kappa statistic37 cited
  • 2001Inference Procedures for Assessing Interobserver Agreement among Multiple Raters36 cited
  • 1999Sample size requirements for interval estimation of the intraclass kappa statistic22 cited
  • 2010Review of: Pijpers, Guus. Information overload. A system for better managing everyday data. Hoboken, NJ: John Wiley and Sons, Inc., 2010.

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  • 2020Comparison of different rating scales for the use in Delphi studies: different scales lead to different consensus and show different test-retest reliability185 cited
  • 2014An extension of STARD statements for reporting diagnostic accuracy studies on liver fibrosis tests: The Liver-FibroSTARD standards60 cited
  • 2022Evolution of professionals' careers upon graduation in STEM and occupational turnover over time: Patterns, diversity characteristics, career success, and self‐employment35 cited
  • 2023ChatGPT for assessing risk of bias of randomized trials using the RoB 2.0 tool: A methods study22 cited
  • 2023Clinical Validation of Novel Digital Measures: Statistical Methods for Reliability Evaluation12 cited
  • 2022Gender differences in citation sentiment: A case study in life sciences and biomedicine9 cited
  • 2018CHIMERAS showed better inter-rater reliability and inter-consensus reliability than GRADE in grading quality of evidence: A randomized controlled trial7 cited