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. |
From inside the book
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Page viii
... infectious disease epidemiology. The next two chapters deal with measurement error. Systematic error, or bias, is treated first, in Chapter 7, and random error in Chapter 8. Chapter 9 introduces the basic analytic methods for estimating ...
... infectious disease epidemiology. The next two chapters deal with measurement error. Systematic error, or bias, is treated first, in Chapter 7, and random error in Chapter 8. Chapter 9 introduces the basic analytic methods for estimating ...
Page ix
... Infectious Disease Epidemiology 110 7. Dealing with Biases 124 8. Random Error and the Role of Statistics 148 9. Analyzing Simple Epidemiologic Data 164 Controlling Confounding by Stratifying Data 176 Measuring Interactions 198 Using ...
... Infectious Disease Epidemiology 110 7. Dealing with Biases 124 8. Random Error and the Role of Statistics 148 9. Analyzing Simple Epidemiologic Data 164 Controlling Confounding by Stratifying Data 176 Measuring Interactions 198 Using ...
Page 11
... infectious diseases were spread by contagion, and he suggested the use of quarantine to limit their spread. The following excerpt from the introduction to Avicenna's Canon of Medicine shows the influence of Hippocrates and his embrace ...
... infectious diseases were spread by contagion, and he suggested the use of quarantine to limit their spread. The following excerpt from the introduction to Avicenna's Canon of Medicine shows the influence of Hippocrates and his embrace ...
Page 13
... Infection of the Spermatick parts. Graunt's work provides several lessons that still apply to good epidemiologic work.6 Among these are the following: He was succinct. His short work contained many original findings and yet 1. had an ...
... Infection of the Spermatick parts. Graunt's work provides several lessons that still apply to good epidemiologic work.6 Among these are the following: He was succinct. His short work contained many original findings and yet 1. had an ...
Page 19
... infectious agents was in its infancy. Soon after graduation, Frost was called to New Orleans to investigate an outbreak of ... infection with the virus confers lasting immunity. His influenza research documented the spread of the global ...
... infectious agents was in its infancy. Soon after graduation, Frost was called to New Orleans to investigate an outbreak of ... infection with the virus confers lasting immunity. His influenza research documented the spread of the global ...
Contents
1 | |
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 |
9 Analyzing Simple Epidemiologic Data | 164 |
10 Controlling Confounding by Stratifying Data | 176 |
11 Measuring Interactions | 198 |
12 Using Regression Models in Epidemiologic Analysis | 211 |
13 Epidemiology in Clinical Settings | 235 |
Appendix | 254 |
Index | 257 |
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age categories approach asbestos bare-metal stents biologic interaction birth order breast cancer calculated case-cohort study case-control study causal mechanism Chapter cholera clinical cohort study compared component causes confidence interval confounding factor control confounding control series curve data in Table denominator described drug-eluting stent epidemic epidemiologic epidemiologic study evaluation example experiment exposed and unexposed Figure flutamide follow-up incidence proportion incidence rate ratio induction infection influenza investigator matching measure misclassification mortality rate nonsmokers null hypothesis obtain occur odds ratio outbreak outcome P-value P-value function patients period person person-time person-years placebo population at risk predicted prevalence prevent confounding propensity score random assignment randomized trial rate difference rate ratio regression model relation reproductive number result risk data risk difference risk factor risk of death risk ratio sampling selection bias significance testing source population specific standard statistical significance strata stratified analysis subjects Suppose tion tolbutamide treatment unexposed group vaccine variable women