Epidemiology: An IntroductionAcross the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the philosophy of science in its aim to study and track the distribution and determinants of health events. A now-classic text, the second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts. Rather than focusing on formulas or dogma, the book presents basic epidemiologic principles and concepts in a coherent and straightforward exposition. By emphasizing a unifying set of ideas, students will develop a strong foundation for understanding the principles of epidemiologic research. |
Contents
1 Introduction to Epidemiologic Thinking | 1 |
2 Pioneers in Epidemiology and Public Health | 8 |
3 What Is Causation? | 23 |
4 Measuring Disease Occurrence and Causal Effects | 38 |
5 Types of Epidemiologic Studies | 69 |
6 Infectious Disease Epidemiology | 110 |
7 Dealing with Biases | 124 |
8 Random Error and the Role of Statistics | 148 |
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Common terms and phrases
actual analysis apply approach assigned attributable average bias biologic birth calculated cancer case-control study causal causes Chapter clinical cohort study compared component conducted confidence interval confounding death depends described develop difference disease distribution effect epidemic epidemiologic Equation error estimate evaluation event example experiment exposed exposure factors Figure follow-up followed given gives greater hypothesis incidence rate increase indicates induction infection interaction interpretation involve lead less lower matching means measure mechanisms methods mortality myocardial infarction null observed obtain occur odds outcome patients period person pooled possible prevalence prevent problem proportion random rate ratio reason receiving referred regression relation reported represent result risk ratio sampling selection shows significance smoking source population specific spread standard statistical strata stratified subjects Suppose Table tion treatment trial unexposed usually vaccine variable weights women