Regression for Health and Social Science: Applied Linear Models with R
Regression for Health and Social Science offers an applied introduction to linear models and statistical analysis with R. Designed for readers working in health and social science, it connects regression methods with practical data analysis and provides a foundation for understanding and applying linear modeling techniques.
About This Book
Regression for Health and Social Science presents applied linear models for readers working with health and social science data.
The book focuses on regression as a practical statistical method, with R included as a tool for analysis.
It connects mathematical modeling with applications in health and social science research.
Written by Daniel Zelterman, this title is suited to learners and practitioners seeking an applied foundation in linear regression.
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