Description
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.
