Purchase textbook

Reproducibility in Biomedical Research,

Edition 2 Epistemological and Statistical Problems and the Future

Editors: By Erwin B. Montgomery Jr.

Publication Date: 26 Apr 2024

0 Reviews

Conformance

PDF/UA-1
The publication was certified on 20250728
For queries regarding accessibility information, contact [email protected]

Ways Of Reading

This e-publication is accessible to the full extent that the file format and types of content allow, on a specific reading device, by default, without necessarily including any additions such as textual descriptions of images or enhanced navigation.

Navigation

The contents of the PDF have been tagged to permit access by assistive technologies as per PDF-UA-1 standard.
Page breaks included from the original print source

Additional Accessibility Information

The language of the text has been specified (e.g., via the HTML or XML lang attribute) to optimise text-to-speech (and other alternative renderings), both at the whole document level and, where appropriate, for individual words, phrases or passages in a different language.

Note

This product relies on 3rd party tooling which may impact the accessibility features visible in inspection copies. All accessibility features mentioned would be present in the purchased version of the title.

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.

Key Features

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

About the author

By Erwin B. Montgomery Jr., Emeritus Professor, Department of Medicine (Neurology), McMaster University, Hamilton, ON, Canada

1. Introduction
2. The Problem of Irreproducibility
3. Validity of Biomedical Science, Reproducibility, and Irreproducibility
4. The Logic of Certainty versus the Logic of Discovery
5. The Logic of Probability and Statistics
6. Causation, Process Metaphor, and Reductionism
7. Case Studies in Clinical Biomedical Research 8. Case Studies in Basic Biomedical Research
9. Case Studies in Computational Biomedical Research
10. Case Studies in Machine Learning Artificial Intelligence (AI)
11. Reproducibility of translation from biomedical research to clinical care
12. Chaotic and Complex Systems, Statistics, and Far-from-Equilibrium Thermodynamics
13. The Nature of the Fundamental Challenges to Reproducibility in any Knowledge Discipline
14. Epilogue
15. Appendix: Types of lack of reproducibility

ISBN: 9780443138294

Page Count: 464

Retail Price :

Graduate students and researchers in biomedical areas, Clinicians, policymakers, grant administrators