Reproducibility in Biomedical Research (eBook)

Reproducibility in Biomedical Research: Epistemological and Statistical Problems, 2nd Ed. explores the ideas and conundrums inherent in scientific research. Reproducibility is one of the biggest challenges in biomedical research. It affects not only the ability to replicate results, but the very trust in the findings. Since published in 2019, Reproducibility of Biomedical Research: Epistemological and Statistical Problems established itself as a solid ethical reference in the area, leading to significant reflection on biomedical research. The 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 will be expanded to cover advances in the topics previously addressed. Reproducibility in Biomedical Research: Epistemological and Statistical Problems, 2nd Ed. 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. 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, 2024) and 'The Ethics of Everyday Medicine” (Academic Press, 2023).

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Reproducibility in Biomedical Research: Epistemological and Statistical Problems, 2nd Ed. explores the ideas and conundrums inherent in scientific research. Reproducibility is one of the biggest challenges in biomedical research. It affects not only the ability to replicate results, but the very trust in the findings. Since published in 2019, Reproducibility of Biomedical Research: Epistemological and Statistical Problems established itself as a solid ethical reference in the area, leading to significant reflection on biomedical research. The 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 will be expanded to cover advances in the topics previously addressed. Reproducibility in Biomedical Research: Epistemological and Statistical Problems, 2nd Ed. 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