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

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.

• Includes four new chapters and updates across the book, covering recent developments of issues affecting reproducibility in biomedical research
• Covers reproducibility of results from machine learning AI algorithms
• Presents new case studies to illustrate challenges in related fields
• Includes a companion website with interactive exercises and summary tables

Dr. Erwin B. Montgomery Jr. 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 books are Reproducibility in Biomedical Research (Academic Press, 2024) and The Ethics of Everyday Medicine (Academic Press, 2023).