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mahmood726-cyber/PredModelMA

PredModelMA

ci codeql license: MIT python: 3.10+

Browser-based prediction model validation meta-analysis with PROBAST.

Methods

  • C-statistic pooling — logit transformation, delta-method SE, REML/DL
  • O:E ratio pooling — log transformation, REML/DL
  • PROBAST — 4-domain risk of bias (Participants, Predictors, Outcome, Analysis)

Plots

  • Forest plot (c-statistics with pooled diamond)
  • Forest plot (O:E ratios)
  • PROBAST traffic light + bar chart

Examples

  • Framingham Risk Score (10 validations)
  • SCORE2 (7 validations)
  • QRISK3 (6 validations)

Live Demo

https://mahmood726-cyber.github.io/PredModelMA/

Author

Mahmood Ahmad, Tahir Heart Institute

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Browser-based prediction model validation meta-analysis with PROBAST.

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