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Points of Significance

Bayes' theorem

Nature Methods volume 12, pages 277–278 (2015) Cite this article

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Figure 1: Marginal, joint and conditional probabilities for independent and dependent events.
Figure 2: Graphical interpretation of Bayes' theorem and its application to iterative estimation of probabilities.
Figure 3: Disease predictions based on presence of markers.

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References

  1. Eddy, S.R. Nat. Biotechnol. 22, 1177–1178 (2004).

    Article  CAS  Google Scholar 

  2. Krzywinski, M. & Altman, N. Nat. Methods 10, 809–810 (2013).

    Article  CAS  Google Scholar 

  3. Oldford, R.W. & Cherry, W.H. Picturing probability: the poverty of Venn diagrams, the richness of eikosograms. http://sas.uwaterloo.ca/∼rwoldfor/papers/venn/eikosograms/paperpdf.pdf (University of Waterloo, 2006)

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Authors and Affiliations

  1. Jorge López Puga is a Professor of Research Methodology at Universidad Católica de Murcia (UCAM).,

    Jorge López Puga

  2. Martin Krzywinski is a staff scientist at Canada's Michael Smith Genome Sciences Centre.,

    Martin Krzywinski

  3. Naomi Altman is a Professor of Statistics at The Pennsylvania State University.,

    Naomi Altman

Authors
  1. Jorge López Puga
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  2. Martin Krzywinski
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  3. Naomi Altman
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The authors declare no competing financial interests.

Supplementary information

Supplementary Table 1

Worksheets illustrate calculations that support statements in the column or provide interactive versions of its figures. (XLSM 72 kb)

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Puga, J., Krzywinski, M. & Altman, N. Bayes' theorem. Nat Methods 12, 277–278 (2015). https://doi.org/10.1038/nmeth.3335

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