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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.
- 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]
- Subjects :
- *DATA science
*PEACE
*GENERALIZED estimating equations
*STATISTICAL models
Subjects
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