Epidemiology: An IntroductionIn the past thirty years epidemiology has matured from a fledgling scientific field into a vibrant discipline that brings together the biological and social sciences, and in doing so draws upon disciplines ranging from statistics and survey sampling to the philosophy of science. These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought. |
From inside the book
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Page vii
... epidemiology , so that a coherent picture of epi- demiologic thinking emerges for the student . The emphasis is not on statistics , formulas , or computation , but on epidemiologic principles and concepts . For some , epidemiology is ...
... epidemiology , so that a coherent picture of epi- demiologic thinking emerges for the student . The emphasis is not on statistics , formulas , or computation , but on epidemiologic principles and concepts . For some , epidemiology is ...
Page viii
... epidemiologic approach to these topics and non- epidemiologic approaches that steer the analysis in the wrong direction . The final chapter deals with clinical epidemiology , a branch that is grow- ing in scope and importance . These ...
... epidemiologic approach to these topics and non- epidemiologic approaches that steer the analysis in the wrong direction . The final chapter deals with clinical epidemiology , a branch that is grow- ing in scope and importance . These ...
Page ix
... Measuring Interactions , 168 10. Using Regression Models in Epidemiologic Analysis , 181 11. Epidemiology in Clinical Settings , 198 Appendix , 218 Index , 221 This page intentionally left blank Epidemiology AN INTRODUCTION This page ...
... Measuring Interactions , 168 10. Using Regression Models in Epidemiologic Analysis , 181 11. Epidemiology in Clinical Settings , 198 Appendix , 218 Index , 221 This page intentionally left blank Epidemiology AN INTRODUCTION This page ...
Page xi
An Introduction Kenneth J. Rothman. Epidemiology AN INTRODUCTION This page intentionally left blank 1 Introduction to Epidemiologic Thinking.
An Introduction Kenneth J. Rothman. Epidemiology AN INTRODUCTION This page intentionally left blank 1 Introduction to Epidemiologic Thinking.
Page xii
An Introduction Kenneth J. Rothman. This page intentionally left blank 1 Introduction to Epidemiologic Thinking This book presents the basic.
An Introduction Kenneth J. Rothman. This page intentionally left blank 1 Introduction to Epidemiologic Thinking This book presents the basic.
Contents
1 | |
8 | |
24 | |
4 Types of Epidemiologic Study | 57 |
5 Biases in Study Design | 94 |
6 Random Error and the Role of Statistics | 113 |
7 Analyzing Simple Epidemiologic Data | 130 |
8 Controlling Confounding by Stratifying Data | 144 |
9 Measuring Interactions | 168 |
10 Using Regression Models in Epidemiologic Analysis | 181 |
11 Epidemiology in Clinical Settings | 198 |
Appendix | 218 |
Index | 221 |
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Common terms and phrases
age categories asbestos attributable fraction average baseline bias biologic interaction birth order breast cancer calculate case-control data case-control study causal causal mechanism Chapter cigarette smoking clozapine cohort study compared component causes confidence interval confidence limits control confounding control series crude data curve data in Table dence rate denominator described distribution drug epidemic epidemiologic epidemiologic study evaluation example experiment exposed and unexposed exposed group Figure flutamide follow-up formula imbalance inci incidence proportion incidence rate ratio inference laryngeal cancer leukemia lung cancer measure misclassification mortality rate myocardial infarction nonsmokers null hypothesis obtain occur odds ratio outcome patients person person-time person-years placebo pooled estimate population at risk predict prevalence random error randomized trial rate difference relation result risk data risk difference risk factor risk of death risk ratio Rothman sampling screening source population specific standard strata stratified analysis Suppose syndrome tamoxifen tion tolbutamide treatment value function variable women