Statistical Analytics for Health Data Science with SAS and R 1st Edition

Unlock the power of data with Statistical Analytics for Health Data Science with SAS and R, 1st Edition by Jeffrey Wilson, Ding-Geng Chen, and Karl E. Peace. This comprehensive guide offers a robust framework for applying statistical methods in health data analysis. With clear explanations and practical examples, readers will master key concepts and techniques vital for today’s data-driven healthcare environment. The book seamlessly integrates SAS and R programming, making complex analyses accessible to both novices and seasoned statisticians. Enhance your analytical skills and contribute to impactful health research with this essential resource from Chapman & Hall.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.