by Tianyu Zhan (Author)
This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. This book is a valuable resource for students, practitioners, and researchers integrating statistics and data science techniques to solve impactful real-world problems.
Author Biography
Tianyu Zhan is a Director at AbbVie Inc. He earned his Ph.D. in Biostatistics from the University of Michigan Ann Arbor in 2017. His research interests are closely related to late-phase clinical trials. He has been actively promoting innovative clinical trial designs and advanced analysis methods at AbbVie, resulting in significant business impacts.
Number of Pages: 156
Dimensions: 0.39 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: March 17, 2026