Data, Knowledge, and Theory: A Biostatistician’s Perspective

Authors

  • Stuart Glenn Baker

DOI:

https://doi.org/10.13133/2532-5876/17620

Abstract

This commentary, inspired by a recent opinion piece of noted biologist Paul Nurse, overviews the interplay between data and various types of scientific knowledge within the realms of prediction, data patterns, causal inference, and scientific theory.

Cover of Organisms. Journal of Biological Sciences, Vol. 5, No. 2

Downloads

Published

2022-05-05

How to Cite

Baker, S. G. (2022). Data, Knowledge, and Theory: A Biostatistician’s Perspective. Organisms. Journal of Biological Sciences, 5(2). https://doi.org/10.13133/2532-5876/17620

Issue

Vol. 5 No. 2 (2022): Special Issue: Where is Science Going? Scenarios and Perspectives of Contemporary Technoscience

Section

Special Section

License

Copyright (c) 2022 Stuart Glenn Baker

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

Copyright Agreement with Authors

Before publication, after the acceptance of the manuscript, authors have to sign a Publication Agreement with Organisms. The authors retain all rights to the original work without any restrictions.

License for Published Contents

Licenza Creative Commons
You are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

Licence scheme | Legal code