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

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.