Klappentext Statistics are a vital skill for epidemiologists and form an essential part of clinical medicine. This textbook introduces students to statistical epidemiology methods in a carefully structured and accessible format with clearly defined learning outcomes and suggested chapter orders that can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. The book covers study design, disease measuring, bias, error, analysis and modelling and is illustrated with figures, focus boxes, study questions and examples applicable to everyday clinical problems. Drawing on the authors' extensive teaching experience, the text provides an introduction to core statistical epidemiology that will be a valuable resource for students and lecturers in health and medical sciences and applied statistics, health staff, clinical researchers and data managers. Zusammenfassung This textbook introduces students to statistical epidemiology methods in a structured and accessible format. Drawing on the authors' extensive teaching experience! with defined learning outcomes! the suggested chapter orders can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds. Inhaltsverzeichnis Mathematical and Statistical Symbols; Preface; 1. Foundations of Epidemiology; 2. Cause and Effect; 3. An Epidemiologist's Toolkit; 4. Dealing with the Numbers; 5. What can go wrong: Error! Bias and Confounding; Answers and Feedback.

Auteur

Graham R. Law is Senior Lecturer in Statistical Epidemiology, University of Leeds.

Résumé
This textbook introduces students to statistical epidemiology methods in a structured and accessible format. Drawing on the authors' extensive teaching experience, with defined learning outcomes, the suggested chapter orders can be tailored to the needs of students at both undergraduate and graduate level from a range of academic backgrounds.

Contenu

Mathematical and Statistical Symbols; Preface; 1. Foundations of Epidemiology; 2. Cause and Effect; 3. An Epidemiologist's Toolkit; 4. Dealing with the Numbers; 5. What can go wrong: Error, Bias and Confounding; Answers and Feedback.