Montgomery Jr., Erwin B., MD (Department of Medi Emeritus Professor

Reproducibility in Biomedical Research

Epistemological and Statistical Problems and the Future

• Broschiertes Buch

Produktbeschreibung

Reproducibility in Biomedical Research: Epistemological and Statistical Problems, Second Edition explores the ideas and conundrums inherent in scientific research. This second edition addresses new challenges to reproducibility in biosciences, namely reproducibility of machine learning Artificial Intelligence (AI), reproducibility of translation from research to medical care, and the fundamental challenges to reproducibility. All current chapters are expanded to cover advances in the topics previously addressed. This book provides biomedical researchers with a framework to better understand the reproducibility challenges in the area. Newly introduced interactive exercises and updated case studies help students understand the fundamental concepts involved in the area.

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Produktdetails

• Verlag: Elsevier Science Publishing Co Inc
• 2 ed
• Seitenzahl: 464
• Erscheinungstermin: 26. April 2024
• Englisch
• Abmessung: 192mm x 235mm x 25mm
• Gewicht: 944g
• ISBN-13: 9780443138294
• ISBN-10: 044313829X
• Artikelnr.: 68544711

Autorenporträt

Dr. Montgomery has been an academic neurologist for over 40 years pursuing teaching, clinical and basic research at major academic medical centers. He has authored over 120 peer reviewed journal articles (available on PubMed) and 8 books on medicine (4 on the subject of Deep Brain Stimulation). The last two have been "Reproducibility in Biomedical Research? (Academic Press, 2024) and "The Ethics of Everyday Medicine? (Academic Press, 2023).

Inhaltsangabe

1. Introduction
2. The Problem of Irreproducibility
3. Validity of Biomedical Science, Reproducibility, and Irreproducibility
4. The Logic of Certainty versus the Logic of Discovery
5. The Logic of Probability and Statistics
6. Causation, Process Metaphor, and Reductionism
7. Case Studies in Clinical Biomedical Research 8. Case Studies in Basic
Biomedical Research
9. Case Studies in Computational Biomedical Research
10. Case Studies in Machine Learning Artificial Intelligence (AI)
11. Reproducibility of translation from biomedical research to clinical
care
12. Chaotic and Complex Systems, Statistics, and Far-from-Equilibrium
Thermodynamics
13. The Nature of the Fundamental Challenges to Reproducibility in any
Knowledge Discipline
14. Epilogue
15. Appendix: Types of lack of reproducibilityility