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.


　FEATURES:
　　　ㆍ　Comprehensive and cohesive text on the principles and methods of contemporary epidemiologic research
　　　ㆍ　Addresses the methodologic issues crucial to the wide range of epidemiologic applications in public health and medicine
　　　ㆍ　Major sections cover basic concepts, study design and conduct, data analysis, and special topics
　　　ㆍ　Completely revised and updated to bring you the most updated information
　　　ㆍ　New chapters cover causal modeling: Bayesian analysis, probabilistic bias analysis, social epidemiology, and use of secondary data
　　　ㆍ　Includes online access to full text so you have access to the content anytime

INTRODUCTION
Modern Epidemiology

BASIC CONCEPTS
Causation and Causal Inference
Measures of Occurrence
Measures of Effect and Measures of Association
Concepts of Interaction

STUDY DESIGN AND CONDUCT
Types of Epidemiologic Studies
Cohort Studies
Case-control Studies
Validity in Epidemiologic Studies
Precision and Statistics in Epidemiologic Studies
Design Strategies to Improve Study Accuracy
Causal Diagrams

DATA ANALYSIS
Fundamentals of Epidemiologic Data Analysis
Introduction to Categorical Statistics
Introduction to Stratified Analysis
Applications of Stratified Analysis Methods
Analysis of Polytomous Exposures and Outcomes
Introduction to Bayesian Statistics
Bias Analysis
Introduction to Regression Models
Introduction to Regression Modeling

SPECIAL TOPICS
Surveillance
Using Secondary Data
Field Methods in Epidemiology
Ecologic Studies
Social Epidemiology
Infectious Disease Epidemiology
Genetic and Molecular Epidemiology
Nutritional Epidemiology
Environmental Epidemiology
Methodologic Issues in Reproductive Epidemiology
Clinical Epidemiology
Meta-analysis