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Statistical Analytics for Health Data Science with SAS and R: Jeffrey R. Wilson, Ding-Geng Chen, and Karl E. Peace, Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xxi + 257 pp., $99.95(H), ISBN: 978-1-032-32562-0.

Authors :
Rahnavard, Ali
Source :
Journal of the American Statistical Association. Mar2024, Vol. 119 Issue 545, p786-787. 2p.
Publication Year :
2024

Abstract

"Statistical Analytics for Health Data Science with SAS and R" by Jeffrey R. Wilson, Ding-Geng Chen, and Karl E. Peace is a practical and user-friendly guide to statistics and health data analysis. The book focuses on downstream analyses and provides hands-on tools rather than complex statistical theories. It organizes its chapters around scientific questions, making it engaging for students in Statistics, Biostatistics, and Computational Biology programs. The book covers a wide range of statistical methods, from foundational concepts to advanced techniques, and includes real-world datasets for authenticity. Overall, it is a valuable resource for applied data scientists, graduate students, and public health researchers. [Extracted from the article]

Details

Language :
English
ISSN :
01621459
Volume :
119
Issue :
545
Database :
Academic Search Index
Journal :
Journal of the American Statistical Association
Publication Type :
Review
Accession number :
175846071
Full Text :
https://doi.org/10.1080/01621459.2023.2273403