Reproducibility in Biomedical Research : Epistemological and Statistical Problems and the Future
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 tru...
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| Format: | Livre numérique |
| Sprog: | Anglais |
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Cambridge, MA :
Academic Press
2024.
Paris : Cyberlibris |
| Online adgang: | Accès Université d'Orléans et IFPM |
| Kommentar: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9780443138300.jpg Cyberlibris (ScholarVox) corpus Santé |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Reproducibility in Biomedical Research, Epistemological and Statistical Problems and the Future, Erwin B. Montgomery Jr, 2d Edition, Cambridge, MA, Academic Press, 2024, 1 vol. (906 p.), 978-04-4313-829-4 |
| Summary: | 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 |
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| Emne beskrivelse: | Couverture. https://static2.cyberlibris.com/books_upload/300pix/9780443138300.jpg Cyberlibris (ScholarVox) corpus Santé |
| ISBN: | 9780443138300 |
| Adgang: | L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris |