Foundations of Biomedical Science: Quantitative Literacy: Theory and Problems
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Julian Pakay
Copyright Year:
ISBN 13: 9780648468189
Publisher: La Trobe University
Language: English
Formats Available
Conditions of Use
Attribution-NonCommercial-ShareAlike
CC BY-NC-SA
Table of Contents
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Acknowledgement of Country
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Publisher Information
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Accessibility Information
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About the Author
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Acknowledgments
- Main Body
- 1. Introduction to quantitative literacy
- 2. Measurement uncertainty and significant figures
- 3. Estimation (sanity checking)
- 4. Biological scale
- 5. Scientific notation and SI units
- 6. Blood composition
- 7. Solutions and concentrations
- 8. Dilutions
- 9. Medical diagnostics – Measurement, uncertainty and distributions
- 10. Medical diagnostics – Sensitivity and specificity
- 11. Correlation, causation and confounding variables
- 12. Growth and decay – Exponents and logarithms
- 13. Further reading and bibliography
- Appendix: Answers to problems
- Versioning History
- Review Statement
Ancillary Material
Submit ancillary resourceAbout the Book
Foundations of Biomedical Science: Quantitative Literacy Theory and Problems is designed to help students develop the fundamental mathematical and quantitative literacy required to navigate and interpret evidence-based Biomedical data. This will provide students with the skills and confidence to habitually question any quantitative data they come across and to use these skills to make informed judgements regarding their veracity.
About the Contributors
Author
Julian Pakay is currently a senior lecturer in the Department of Biochemistry and Chemistry at La Trobe University, Melbourne, Australia.
Following his passion for biology, Julian completed his undergraduate studies and PhD in Biochemistry at the University of Western Australia where he investigated how some animals can control “metabolic time” and survive on stored fuels for extended periods. He continued in research at the Dunn Human Nutrition Unit in Cambridge, Geneva University, and Melbourne University working in diverse fields including bioenergetics, gene regulation and cellular signalling. He is now an education-focused academic, teaching biochemistry at all year levels from first year through to Masters. From his time in research Julian has seen how technological innovation has transformed biology into a more quantita- tive and predictive discipline. One of his major teaching goals is to help students attain proficiency in mathematics and quantitative literacy to help them navigate modern biology.