Modern Epidemiology

Description

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis. MODERN EPIDEMIOLOGY Copyright Contents Preface and Acknowledgments Contributors 1 Introduction SECTION I Basic Concepts 2 Causation and Causal Inference 3 Measures of Occurrence 4 Measures of Effect and Measures of Association 5 Concepts of Interaction Section II Study Design and Conduct 6 Types of Epidemiologic Studies 7 Cohort Studies 8 Case-Control Studies 9 Validity in Epidemiologic Studies 10 Precision and Statistics in Epidemiologic Studies 11 Design Strategies to Improve Study Accuracy 12 Causal Diagrams Section III Data Analysis 13 Fundamentals of Epidemiologic Data Analysis 14 Introduction to Categorical Statistics 15 Introduction to Stratified Analysis 16 Applications of Stratified Analysis Methods 17 Analysis of Polytomous Exposures and Outcomes 18 Introduction to Bayesian Statistics 19 Bias Analysis 20 Introduction to Regression Models 21 Introduction to Regression Modeling Section IV Special Topics 22 Surveillance 23 Using Secondary Data 24 Field Methods in Epidemiology 25 Ecologic Studies 26 Social Epidemiology 27 Infectious Disease Epidemiology 28 Genetic and Molecular Epidemiology 29 Nutritional Epidemiology 30 Environmental Epidemiology 31 Methodologic Issues in Reproductive Epidemiology 32 Clinical Epidemiology 33 Meta-Analysis References Index