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

Montgomery Jr.

Softcover

ISBN 10: 044313829X ISBN 13: 9780443138294

Verlag: Academic Press, 2024

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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, Second Edition, 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, Second Edition, 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.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 044313829X
• ISBN 13: 9780443138294
• Einband: Tapa blanda
• Auflage: 2
• Anzahl der Seiten: 462
• Kontakt zum Hersteller: Academic Press; https://shop.elsevier.com/; ; 230 PARK AVENUE, SUITE 800; NY; NY; 10169; USA
• Verantwortliche Person: Yeepin GmbH; 492000000000; sunshine12232@outlook.com; ; Alleestr.11; Kaiserslautern; Rheinland-Pfalz; 67655; Deutschland