Buch, Englisch, 356 Seiten, Format (B × H): 152 mm x 227 mm, Gewicht: 572 g
Epistemological and Statistical Problems
Buch, Englisch, 356 Seiten, Format (B × H): 152 mm x 227 mm, Gewicht: 572 g
ISBN: 978-0-12-817443-2
Verlag: Elsevier Science Publishing Co Inc
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.
Zielgruppe
Researchers and advanced students in biomedical fields, clinicians, administrators of scientific institutions and funding agencies, journal editors, philosophers of science and medicine
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
Weitere Infos & Material
1. Introduction2. Validity of Biomedical Science, Reproducibility and Irreproducibility3. The Logic of Certainty versus the Logic of Discovery4. The Logic of Probability and Statistics5. Causation, Process Metaphor, and Reductionism6. Case Studies in Clinical Biomedical Research7. Case Studies in Basic Biomedical Research8. Case Studies in Computational Biomedical Research9. Chaotic and Complex Systems, Statistics, and Far-from-Equilibrium Thermodynamics10. Epilogue