Reproducibility in Biomedical Research: Epistemological and Statistical Problems and the Future

Author:   Erwin B. Montgomery Jr., MD (Emeritus Professor, Department of Medicine (Neurology), McMaster University, Hamilton, ON, Canada)
Publisher:   Elsevier Science Publishing Co Inc
Edition:   2nd edition
ISBN:  

9780443138294


Pages:   464
Publication Date:   26 April 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Reproducibility in Biomedical Research: Epistemological and Statistical Problems and the Future


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Overview

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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Author:   Erwin B. Montgomery Jr., MD (Emeritus Professor, Department of Medicine (Neurology), McMaster University, Hamilton, ON, Canada)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Edition:   2nd edition
Weight:   0.450kg
ISBN:  

9780443138294


ISBN 10:   044313829
Pages:   464
Publication Date:   26 April 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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Author Information

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).

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