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A Test Method for Identifying Selection Bias Risk in Prospective Controlled Clinical Therapy Trials Using the I2 Point Estimate
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A Test Method for Identifying Selection Bias Risk in Prospective Controlled Clinical Therapy Trials Using the I2 Point Estimate (2024)A Test Method for Identifying Selection B…RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)RoB 2: a revised tool for ass…A simple technique investigating baseline heterogeneity helped to eliminate potential bias in meta-analyses (2017)A simple technique investigat…The heterogeneity statistic I2 can be biased in small meta-analyses (2015)The heterogeneity statistic I…A methodological review of recent meta-analyses has found significant heterogeneity in age between randomized groups (2014)A methodological review of re…Undue reliance on I 2 in assessing heterogeneity may mislead (2008)Undue reliance on I 2 in asse…Estimating the mean and variance from the median, range, and the size of a sample (2005)Estimating the mean and varia…Effectiveness of a quality improvement intervention for adolescent depression in primary care clinics: a randomized controlled trial. (2005)Effectiveness of a quality im…Improving the quality of reporting of randomized controlled trials. The CONSORT statement (1996)Chapter 8: Assessing risk of bias in included studies (2008)Important outcome predictors showed greater baseline heterogeneity than age in two systematic reviews (2014)Cochrane: the unfinished symphony of research synthesis (2016)Meta-analysis in clinical trials (1986)Quantifying heterogeneity in a meta‐analysis (2002)Measuring inconsistency in meta-analyses (2003)The current prevalence of child sexual abuse worldwide: a systematic review and meta-analysis (2012)Variables associated with achievement in higher education: A systematic review of meta-analyses. (2017)The Combination of Estimates from Different Experiments (1954)Fixed- and random-effects models in meta-analysis. (1998)Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies (2020)The Empirical Status of Mindfulness-Based Interventions: A Systematic Review of 44 Meta-Analyses of Randomized Controlled Trials (2021)Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity (2022)The CES-D Scale (1977)The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. (1992)A 12-Item Short-Form Health Survey (1996)Well-Being for Public Policy (2009)Collaborative Care to Improve the Management of Depressive Disorders (2012)Guidelines for Adolescent Depression in Primary Care (GLAD-PC): Part I. Practice Preparation, Identification, Assessment, and Initial Management (2018)Empirical Evidence of Bias (1995)Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Selection Bias Risk in Randomized Controlled Trials Rated as Low Bias Using Risk of Bias, Version 2 (RoB2) Tool (2024)The Measurement of Observer Agreement for Categorical Data (1977)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range (2014)Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range (2016)Choosing effect measures and computing estimates of effect (2019)
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References

  • 2019RoB 2: a revised tool for assessing risk of bias in randomised trials33,067 cited
  • 2005Estimating the mean and variance from the median, range, and the size of a sample9,051 cited
  • 2008Undue reliance on I 2 in assessing heterogeneity may mislead1,286 cited
  • 2015The heterogeneity statistic I2 can be biased in small meta-analyses1,228 cited
  • 2005Effectiveness of a quality improvement intervention for adolescent depression in primary care clinics: a randomized controlled trial.487 cited
  • 2014A methodological review of recent meta-analyses has found significant heterogeneity in age between randomized groups36 cited
  • 2017A simple technique investigating baseline heterogeneity helped to eliminate potential bias in meta-analyses32 cited

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