• A comprehensive introduction to statistical methods used in epilepsy research
• Divided into four parts: Basic Processing Methods for Data Analysis; Statistical Models for Epilepsy Data Types; Machine Learning Methods; and Clinical Studies
• Covers methodological and practical aspects, along with worked-out examples featuring R and Python code
• Contributions from experts in the field, ensuring the most up-to-date and relevant information

Who Will Benefit from This Handbook?

This comprehensive guide is designed 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, making it a valuable reference for the field of neurology.

By mastering the statistical methods outlined in this handbook, researchers can unlock new insights, accelerate discovery, and improve patient outcomes in epilepsy and beyond.

Get Access to Practical Examples and Code

To further enhance your understanding of statistical methods, visit the online supplement, featuring R and Python code examples, and explore the GitHub repository https://github.com/sharon-chiang/Statistics-Epilepsy-Book.

Stay at the forefront of epilepsy research with Statistical Methods in Epilepsy – a valuable resource for anyone seeking to make a meaningful impact in the field.