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BioBayes

Author(s): John Jungck1, Jennifer Galovich2, Joe Reistetter1

1. Beloit College 2. St. John's University and the College of St. Benedict

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Summary:
The BioBayes module leads the user through several different methodologies for applying Bayesian probabilities to real life examples and problems, such as HIV and cystic fibrosis screening.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 14 Aug 2024 doi:10.25334/AR7F-6S30 - cite this

Keywords

  1. pedigrees
  2. bayesian statistics
  3. HIV
  4. Two-Way Tables
  5. punnett squares
  6. cystic fibrosis

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  2. Subdiscipline
  3. Audience Level
  4. Software Used
Contents:
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Versions

Version Released DOI Handle Status
1.0 Aug 14, 2024 10.25334/AR7F-6S30 published view version »