Reproducibility in Biomedical Research
Epistemological and Statistical Problems
Reproducibility in Biomedical Research: Epistemological and Statistical Problems explores the ideas and conundrums inherent in scientific research. It explores factors of reproducibility, including logic, distinguishing productive from unproductive...
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Reproducibility in Biomedical Research: Epistemological and Statistical Problems explores the ideas and conundrums inherent in scientific research. It explores factors of reproducibility, including logic, distinguishing productive from unproductive irreproducibility, the scientific method, and the use of statistics. In multiple examples and six detailed case studies, the book demonstrates the misuse of logic resulting in unproductive irreproducibility, allowing researchers to develop their own logic and planning abilities. Biomedical researchers, clinicians, administrators of scientific institutions and funding agencies, journal editors, philosophers of science and medicine will find the arguments and explorations a valuable addition to their libraries.
Bibliographische Angaben
- Autor: Erwin B. Montgomery Jr.
- Verlag: Academic Press
- EAN: 9780128174432
Autoren-Porträt von Erwin B. Montgomery Jr.
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, 2019) and "The Ethics of Everyday Medicine? (Academic Press, 2019).
Inhaltsverzeichnis zu „Reproducibility in Biomedical Research “
1. Introduction 2. Validity of Biomedical Science, Reproducibility and Irreproducibility 3. The Logic of Certainty versus the Logic of Discovery 4. The Logic of Probability and Statistics 5. Causation, Process Metaphor, and Reductionism 6. Case Studies in Clinical Biomedical Research 7. Case Studies in Basic Biomedical Research 8. Case Studies in Computational Biomedical Research 9. Chaotic and Complex Systems, Statistics, and Far-from-Equilibrium Thermodynamics 10. Epilogue
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