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Regression with R and Python: Description, Prediction, and Causal Analysis in Social Science and Medicine
Hardcover
Series: Springer Texts in Statistics
ApplicationsGeneral ComputersProbability & Statistics
ISBN13: 9783032400871
Publisher: Springer
Published: Feb 1 2027
Language: English
Regression with R and Python is a modern applied textbook on regression analysis that integrates theory, interpretation, and hands-on implementation in both R and Python. The guiding principle is that the meaning of a regression coefficient depends on the goal of the analysis--descriptive, predictive, or causal--so the book emphasizes interpretation first and clarifies which assumptions are needed, for which conclusions.
Two programming appendices provide a self-contained introduction to R and Python and mirror the workflow used in the chapters. Additional appendices collect mathematical tools and give matrix-based technical presentations of OLS, GLS, and IV/2SLS.
This book is intended for advanced undergraduate and early graduate students in statistics, econometrics, data science, and applied social sciences. Prerequisites are an introductory statistics course and basic calculus and algebra. Basic programming experience is helpful but not required.
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