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Assessment of heterogeneity in an individual participant data meta‐analysis of prediction models: An overview and illustration
6 references·2 citing·38 second hop
Assessment of heterogeneity in an individual participant data meta‐analysis of prediction models: An overview and illustration (2019)Assessment of heterogeneity in an individ…Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ (2016)Meta-analysis using individua…Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use (2015)Individual Participant Data (…Developing and validating risk prediction models in an individual participant data meta-analysis (2014)Developing and validating ris…Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage? (2013)Individual Participant Data M…Cochrane Handbook for Systematic Reviews of Interventions (2008)Cochrane Handbook for Systema…A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena (2006)A brief conceptual tutorial o…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…Evidence synthesis in prognosis research (2019)Evidence synthesis in prognos…Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Meta-analysis in clinical trials (1986)Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration (2008)A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)Sexual orientation and symptoms of common mental disorder or low wellbeing: combined meta-analysis of 12 UK population health surveys (2016)Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning (2020)On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis (2021)Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods (2007)Meta-analysis of individual participant data: rationale, conduct, and reporting (2010)Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey (2012)Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model (2015)Examining Bias and Reporting in Oral Health Prediction Modeling Studies (2020)Progress and challenges of network meta‐analysis (2021)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)Individual participant data (2019)Conducting Meta-Analyses in R with the metafor Package (2010)A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio (2018)An extended mixed‐effects framework for meta‐analysis (2019)Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study (2021)Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews (2005)Assessing Bias in Studies of Prognostic Factors (2013)Structured reporting to improve transparency of analyses in prognostic marker studies (2022)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)PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2018)Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury (2022)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)Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998 (2007)Neighborhood Characteristics and Hypertension (2008)Socioeconomic Inequality in Exposure to Bullying During Adolescence: A Comparative, Cross-Sectional, Multilevel Study in 35 Countries (2009)
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References

  • 2008Cochrane Handbook for Systematic Reviews of Interventions25,045 cited
  • 2006A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena1,677 cited
  • 2016Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ537 cited
  • 2013Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?201 cited
  • 2015Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use129 cited
  • 2014Developing and validating risk prediction models in an individual participant data meta-analysis105 cited

Cited by

  • 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
  • 2019Evidence synthesis in prognosis research29 cited

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