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Reproducibility in Biomedical Research

Epistemological and Statistical Problems and the Future

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2024
ISBN13: 9780443138294
Rubricering
Elsevier Science e druk, 2024 9780443138294
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780443138294
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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

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        Reproducibility in Biomedical Research