Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Discrimination and reproducibility of an information maximizing multivariable model

P S Heckerling1, R C Conant, T G Tape

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

Methods of Information in Medicine
|April 1, 1993
PubMed
Summary

Extended dependency analysis (EDA), an information-maximizing method, effectively identifies key predictors for pneumonia prediction. This approach demonstrated comparable discrimination and reproducibility to traditional logistic regression, supporting its use in clinical rule development.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The "resident's dilemma"? Values and strategies of medical residents for education interactions: a cellular automata simulation.

Methods of information in medicine·2006
Same author

Selection of predictor variables for pneumonia using neural networks and genetic algorithms.

Methods of information in medicine·2005
Same author

Entering the black box of neural networks.

Methods of information in medicine·2003
Same author

Parametric three-way receiver operating characteristic surface analysis using mathematica.

Medical decision making : an international journal of the Society for Medical Decision Making·2001
Same author

How physicians diagnose urinary tract infections: the potential influence of laboratory regulations on test availability and use.

The Journal of family practice·2001
Same author

The effect of obesity on medical students' approach to patients with abdominal pain.

Journal of general internal medicine·2001

Area of Science:

  • Medical Informatics
  • Biostatistics
  • Machine Learning in Healthcare

Background:

  • Multivariate prediction rules often use likelihood-based variable selection.
  • Information-maximizing methods offer an alternative for variable selection.

Purpose of the Study:

  • To compare the Extended Dependency Analysis (EDA) for variable selection with logistic regression.
  • To evaluate the discrimination and reproducibility of a pneumonia prediction rule derived using EDA.

Main Methods:

  • Receiver-operating characteristic (ROC) analysis for discrimination.
  • Monte Carlo simulations to generate replicate samples for reproducibility assessment.
  • Comparison of EDA-derived rule with a logistic regression-derived rule.

Related Experiment Videos

Main Results:

  • EDA selected four of five identical variables as logistic regression.
  • EDA showed comparable discrimination (ROC area 0.800 vs 0.816 in training, 0.822 vs 0.821 in validation).
  • EDA demonstrated good reproducibility, meeting validation criteria in 80.8% to 94.2% of replicate models.

Conclusions:

  • Extended dependency analysis is a viable method for selecting important variables in clinical prediction rules.
  • The information-theoretic approach offers good discriminatory power and reproducibility.
  • EDA provides a reasonable basis for developing robust clinical prediction models.