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Related Experiment Videos

Reproducibility of predictor variables from a validated clinical rule.

P S Heckerling1, R C Conant, T G Tape

  • 1Department of Medicine, University of Illinois, Chicago 60680.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|October 1, 1992
PubMed
Summary

Clinical prediction rules can be reproducible. Larger sample sizes (500) significantly improved the reproducibility of pneumonia prediction models compared to smaller sizes (250).

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Area of Science:

  • Medical Informatics
  • Clinical Epidemiology
  • Biostatistics

Background:

  • Clinical prediction rules (CPRs) are essential for medical decision-making.
  • Concerns exist regarding the reproducibility of CPRs and the stability of key variables in replicate models.

Purpose of the Study:

  • To assess the reproducibility of a validated clinical prediction rule for radiographic pneumonia.
  • To evaluate the impact of sample size on the reproducibility of CPRs.

Main Methods:

  • Generated 200 replicate samples (sizes 250 and 500) from a training cohort of 905 patients.
  • Applied stepwise logistic regression with forward selection among 31 variables.
  • Assessed reproducibility using six criteria, including variable inclusion and order.

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Main Results:

  • Models from sample size 500 demonstrated higher reproducibility across all criteria compared to sample size 250 (e.g., 85.5% vs. 49.0% for including top 2 variables).
  • Mean ROC areas were comparable between training and validation sets, with better agreement in larger sample sizes (80.5% for size 500 vs. 75.3% for size 250).

Conclusions:

  • Larger sample sizes substantially enhance the reproducibility of clinical prediction rules.
  • The validated pneumonia prediction rule shows good performance and reproducibility, particularly with adequate sample sizes.