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Deep-Learning-Assisted Statistical Methods with Examples in R - Paperback

Deep-Learning-Assisted Statistical Methods with Examples in R - Paperback

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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
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