Regression for Health and Social Science

Discover the essential guide to understanding linear models with "Regression for Health and Social Science" by Daniel Zelterman, published by Cambridge University Press in 2022. This comprehensive hardback edition spans 294 pages and is designed for readers who seek to grasp the fundamentals without getting lost in complex mathematics. Zelterman uses relatable, everyday examples and provides numerous exercises to enhance your learning experience.

The book emphasizes practical issues in data analysis and interpretation of computer output, making it an invaluable resource for health and social science professionals. Additionally, R code is included and thoroughly explained, empowering readers to apply these methods to their own datasets effectively. Whether you're a student or a practitioner, this text will equip you with the tools needed to navigate the world of regression analysis confidently.