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Celentano David D., Szklo Moyses (eds.) Gordis Epidemiology

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Celentano David D., Szklo Moyses (eds.) Gordis Epidemiology
6th edition. — Elsevier, 2019. — 434 p. — ISBN: 9780323552295
From the Department of Epidemiology at Johns Hopkins University and continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, comes the fully revised 6th Edition of Gordis Epidemiology. This bestselling text provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. New coverage includes expanded information on genetic epidemiology, epidemiology and public policy, and ethical and professional issues in epidemiology, providing a strong basis for understanding the role and importance of epidemiology in today’s data-driven society.
The Epidemiologic Approach to Disease and Intervention
The Dynamics of Disease Transmission
The Occurrence of Disease: I. Disease Surveillance and Measures of Morbidity
The Occurrence of Disease: II. Mortality and Other Measures of Disease Impact
Assessing the Validity and Reliability of Diagnostic and Screening Tests
The Natural History of Disease: Ways of Expressing Prognosis
Introduction: Using Epidemiology to Identify the Cause of Disease
Observational Studies
Cohort Studies
Comparing Cohort and Case-Control Studies
Assessing Preventive and Therapeutic Measures: Randomized Trials
Randomized Trials: Some Further Issues
Estimating Risk: Is There an Association?
More on Risk: Estimating the Potential for Prevention
From Association to Causation: Deriving Inferences from Epidemiologic Studies
More on Causal Inference: Bias, Confounding, and Interaction
Identifying the Roles of Genetic and Environmental Factors in Disease Causation
Applying Epidemiology to Evaluation and Policy
Using Epidemiology to Evaluate Health Services
Epidemiologic Approach to Evaluating Screening Programs
Epidemiology and Public Policy
Ethical and Professional Issues in Epidemiology
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