Description
Statistical Analytics for Health Data Science With SAS and R Set is an authoritative resource designed for biostatisticians, data scientists, and health researchers. This comprehensive set combines theoretical foundations with practical implementations using two of the most widely-used statistical software platforms in health sciences.
The book covers essential statistical methods for analyzing health data, including descriptive statistics, hypothesis testing, regression analysis, survival analysis, and advanced analytical techniques. Each topic is presented with clear explanations and real-world examples relevant to clinical trials, epidemiological studies, and health outcomes research.
Readers will learn how to implement statistical procedures in both SAS and R, enabling them to choose the most appropriate tool for their specific analytical needs. The set addresses common challenges in health data science, including data management, quality assurance, and visualization of complex health datasets.
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