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Carte Reproducibility in Biomedical Research Erwin B. Montgomery Jr.

Reproducibility in Biomedical Research

Epistemological and Statistical Problems and the Future

Autor: Erwin B. Montgomery Jr.
Limbă: engleză
Legare: Carte broșată
Editura: Elsevier Science Publishing Co Inc
Disponibilitate: șansă 50%
Şanse de a obține acest titlu
580.45 lei
Reproducibility in Biomedical Research: Epistemological and Statistical Problems, Second Edition, ex...

Informații despre carte

Autor
Erwin B. Montgomery Jr.
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2024
Pagini
420
EAN
9780443138294
ISBN
044313829X
Enbook ID
43723647
Editura
Elsevier Science Publishing Co Inc
Greutate
944
Dimensiuni
151 x 229

Descriere completă

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. Includes four new chapters and updates across the book, covering recent developments of issues affecting reproducibility in Biomedical researchCovers reproducibility of results from machine learning AI algorithmsPresents new case studies to illustrate the challenges in related fieldsThe companion website includes interactive exercises and summary tables