Unlock the Power of Epilepsy Research with Statistical Methods

Discover how statistical methods and machine learning can unlock new treatments and insights into brain function. Epilepsy research holds immense promise, but without the right tools, data can remain untapped. That’s where Statistical Methods in Epilepsy comes in – a comprehensive guide to extracting meaning from data and enabling discovery.

A Comprehensive Introduction to Statistical Methods

This textbook provides a clear, accessible introduction to statistical methods used in epilepsy research, demystifying both introductory and advanced techniques. Written by leading authorities in the field, it offers a practical roadmap for learners and experts alike.

Topics Covered

• Version control and coding primer
• Pre-processing of imaging and electrophysiological data
• Hypothesis testing, generalized linear models, and survival analysis
• Network analysis, time-series analysis, and spectral analysis
• Spatial statistics, unsupervised and supervised learning, and natural language processing
• Prospective trial design, pharmacokinetic and pharmacodynamic modeling, and randomized clinical trials

Featured Resources

Get hands-on practice with worked-out examples and R and Python code provided in the online supplement. Explore the online resource hub at https://github.com/sharon-chiang/Statistics-Epilepsy-Book/

Who is this Handbook For?

This handbook is an invaluable resource for clinicians, graduate students, medical students, and researchers seeking to conduct quantitative epilepsy research. The topics covered extend broadly to quantitative research in other neurological specialties, providing a valuable reference for the field of neurology.

Statistical Methods in Epilepsy is published by CRC Press and is available in English. Stay ahead in epilepsy research with this comprehensive guide.

ISBN: 9781032184357, 9781003829294