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Implementing the Bayesian paradigm: reporting research results over the World-Wide Web

H P Lehmann1, M R Wachter

  • 1Johns Hopkins School of Medicine, University of Baltimore. lehmann@welchgate.welch.jhu.edu

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
Summary

Bayesian data analysis is now accessible to non-statisticians via the World-Wide Web. A new Java applet, BayesApplet, simplifies Bayesian methods for clinical trials, enhancing research publication and use.

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Area of Science:

  • Biostatistics
  • Medical Informatics
  • Scientific Communication

Background:

  • The Bayesian paradigm is widely recognized as the optimal approach for scientific data analysis.
  • Traditional Bayesian methods are often too complex for non-statisticians.
  • The World-Wide Web offers a novel platform for disseminating scientific findings.

Purpose of the Study:

  • To demonstrate the feasibility of implementing Bayesian data analysis on the World-Wide Web.
  • To simplify the application of Bayesian methods for researchers and readers.
  • To explore new paradigms for publishing and utilizing medical research results.

Main Methods:

  • Utilized the World-Wide Web architecture with server-side likelihood functions and client-side prior belief representation.

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  • Developed a Java applet (BayesApplet) to perform the Bayesian calculation.
  • Designed the system for graphical assessment of prior beliefs and diverse reporting of results.

    • Main Results:

    • Presented a prototype implementation, BayesApplet, for two-arm clinical trials with normally-distributed outcomes.
    • Demonstrated that the Web can host interactive Bayesian analyses.
    • Showcased the potential for varied and enhanced reporting of scientific results.

    Conclusions:

    • The World-Wide Web is an ideal environment for practical Bayesian data analysis.
    • BayesApplet simplifies complex Bayesian computations for a wider audience.
    • Web-based publication of medical research can significantly impact its dissemination and application.