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Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury
5 references·0 citing·23 second hopsampled
Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury (2022)Does poor methodological quality of predi…Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination (2021)Large-scale validation of the…PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2018)PROBAST: A Tool to Assess the…Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement (2015)Transparent reporting of a mu…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)Transparent Reporting of a mu…Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014)Critical Appraisal and Data E…Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement (2015)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences (2018)Cochrane Handbook for Systematic Reviews of Interventions (2010)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? (2020)PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) (2015)PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration (2018)Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement (2023)Common challenges and suggestions for risk of bias tool development: a systematic review of methodological studies (2024)Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application (2025)Mobile health solutions for the aging population: A systematic narrative analysis (2016)Reducing the stigma of mental illness (2016)A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor (2020)
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References

  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration5,114 cited
  • 2018PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies2,953 cited
  • 2014Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist2,012 cited
  • 2015Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement1,920 cited
  • 2021Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination65 cited

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