New statistics textbook offers roadmap for epilepsy research

Marina Vannucci, Noah Harding Professor of Statistics, has co-edited, contributed to Statistical Methods in Epilepsy.

Marina Vannucci

Marina Vannucci, Noah Harding Professor of Statistics (STAT) at Rice, has co-edited and contributed to a textbook, Statistical Methods in Epilepsy.

“We intended the book to be a comprehensive introduction to the statistical methods used in epilepsy research. We wanted to demystify the methods essential for researching the disease and provide a roadmap that will be useful for students and experts alike,” said Vannucci, whose book will be published by Chapman and Hall/CRC on Feb. 29.

Vannucci’s co-editors are Dr. Sharon Chiang, who earned her Ph.D. in STAT from Rice in 2016 and her M.D. from Baylor College of Medicine in 2018, and Dr. Vikram Rao, associate professor of neurology in the Weill Institute for Neurosciences at the University of California, San Francisco.

The three collaborated on a chapter devoted to time-series analysis. The chapter’s co-author is John Zito, a fifth-year doctoral student in STAT at Rice.

Vannucci joined the Rice faculty in 2007 after serving on the faculty at Texas A&M for nine years. Her research interests include Bayesian statistics, variable selection, graphical models, statistical computing and wavelets, with applications in genomics, neuroimaging and engineering.

Statistical Methods in Epilepsy