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This book is written by an epidemiologist for graduate students, researchers, and practitioners who will use regression techniques to analyze data. It focuses on association models rather than prediction models. The book targets students and working professionals who lack a bona fide modeling expert but are committed to conducting appropriate regression analyses and generating valid findings from their projects. This book offers detailed strategies to guide them in modeling epidemiologic data.
Features:
• Custom-Tailored Models: Detail association models specifically designed for epidemiologic study designs.
• Epidemiologic Principles in Action: Learn how to apply and translate epidemiologic principles into regression modeling techniques.
• Model Specification Guidance: Offer guidance on model specifications to estimate exposure-outcome associations, accurately controlling for confounding bias.
• Accessible Language: Describe regression intricacies in user-friendly language, accompanied by real-world examples that make learning easier.
• Step-by-Step Approach: Follow a straightforward step-by-step approach to master strategies and procedures for analysis.
• Rich in Examples: Benefit from 120 examples, 77 figures, 86 tables, and 174 SAS® outputs with annotations to enhance your understanding.
Crafted for two primary audiences, this text benefits graduate epidemiology students seeking to understand how epidemiologic principles inform modeling analyses and public health professionals conducting independent analyses in their work. Therefore, this book serves as a textbook in the classroom and as a reference book in the workplace. Upon completing this text, readers should gain confidence in accurately estimating associations between risk factors and outcomes, controlling confounding bias, and assessing effect modification.
Please click the following links for the book preview and to download SAS programs and datasets:
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