Statistical methods in epilepsy / edited by Sharon Chiang, Vikram R. Rao, and Marina Vannucci.

SeriesInterdisciplinary statistics
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Statistical methods in epilepsy First edition. Boca Raton : CRC Press, 2024 9781032184357
Genre/formElectronic books.
LCCN 2023035305
ISBN9781003254515 (ebk)
ISBN(hbk)
ISBN(pbk)

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