Multivariate Analysis for Neuroimaging Data

This book enables us to analyze statistically brain imaging data. It is meant for a wide range of researchers interested in biostatistics, data science, and neuroscience. It is useful to understand the background theory of standard software for neuroimaging data analysis.

List of contents

Preface. Introduction. Brain Imaging Data. Common Statistical Approach. Multivariate Approach. Advance methods. References.

About the author

Dr. Atsushi Kawaguchi is a professor in the Faculty of Medicine, Saga University in Japan. He received a Ph.D. in Mathematical Statistics from Kyushu University. He has conducted original research and published articles on brain imaging data analysis. He has produced collaborative works with medical doctors as a biostatistician. He has contributed chapters in books on (Frontiers of Biostatistical Methods and Applications in Clinical Oncology, Statistical Techniques for Neuroscientists, etc.). He is an associate editor of Journal of Statistics, and Journal of Biometrics, both in Japanese. He received the Biometric Society of Japan Encouragement Prize in 2010.

Summary

This book enables us to analyze statistically brain imaging data. It is meant for a wide range of researchers interested in biostatistics, data science, and neuroscience. It is useful to understand the background theory of standard software for neuroimaging data analysis.

Product details

• Authors: Atsushi Kawaguchi
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 24.07.2023
• EAN: 9780367752217
• ISBN: 978-0-367-75221-7
• No. of pages: 214
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; SCIENCE / Life Sciences / General, Artificial Intelligence, BUSINESS & ECONOMICS / Statistics, SCIENCE / Life Sciences / Neuroscience, MATHEMATICS / Probability & Statistics / General, MEDICAL / Neuroscience, MEDICAL / Epidemiology, Neurosciences, Probability & statistics, Medical imaging, Probability and statistics, COMPUTERS / Artificial Intelligence / General