"Epilepsy is a field of neurology centered on the evaluation and treatment of zero-inflated, seemingly random, and highly consequential events linked to high dimensional data over long- time scales and sparsely collected spatial data. Statistical methods and modelling are central to the field of epilepsy and the scientific advancement of epilepsy management and treatment. This edited volume provides a clear and accessible overview of the use of statistical methods in epilepsy research. Topics include exploratory data analysis, hypothesis testing, power analysis, analysis of variance, regression, count data, survival analysis, directed/undirected networks, unsupervised learning, supervised learning, time-series analysis and circular statistics, and Bayesian analysis. Each chapter will feature worked examples of R, Matlab, and/or Python code integrated into the text. This book is intended to appeal to clinicians, applied statisticians, and data analysts interested in applying statistical methods to clinical data collected in epilepsy practice. The targeted audience consists of epilepsy clinicians and quantitative scientists involved in clinical epilepsy research. This audience will find this handbook valuable as a refence and introduction to specialized statistical topics"--