Introduction to Regression Methods for Public Health Using R

Discover the essential techniques of regression analysis in "Introduction to Regression Methods for Public Health Using R" by Ramzi W. Nahhas. Published by Taylor & Francis Ltd in 2024, this comprehensive hardback spans 442 pages and serves as a vital resource for professionals in the public health sector. This book expertly covers regression methods for various types of outcomes, including continuous, binary, ordinal, and time-to-event data, all while utilizing the powerful R programming language. Understanding the relationships between outcomes and explanatory variables is crucial in public health research, and this guide equips readers with the necessary tools to apply these methods effectively. Whether you are a seasoned researcher or a newcomer to the field, Nahhas' insightful approach will enhance your analytical skills and deepen your understanding of public health data. Elevate your expertise with this indispensable addition to your library.