This edition: Includes new chapter on data science Updated material on measurement error, deterministic modeling, infectious diseases, preferential sampling Introduces modern computational methods, including INLA, together with code for implementation Represents major new direction in environmental epidemiology Full color throughout Underscores increasing need to consider dependencies in both space and time when modeling epidemiological data. Students learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.

The Oxford Handbook of Epidemiology for Clinicians provides all the information required by students and junior doctors who need to understand and translate key epidemiological concepts into medical practice. Unlike standard textbooks in this area, the focus throughout is on clinical applications of epidemiological knowledge. Divided into four sections, the handbook begins with the basics of epidemiology in the clinic, moving on to the theories behind evidence-based practice, discussions of optimum methods and studies, and then ends by looking at the epidemiology of common diseases. The material is presented in a logical manner, from problems to the most appropriate solutions or tools to be applied. Interesting topics such as controversies in prevention intervention encourage discussion and thought, and the authors pose sensible and important questions throughout. This handbook is a must for all junior doctors, medical students, and clinicians who need to apply epidemiological concepts to day-to-day practice or who want a practical step-by-step guide to undertaking research, conducting reviews of evidence, or writing up publications.