Content:

Chapter 1: The scope of epidemiology
Chapter 2: Causal inference and scientific reasoning
Chapter 3: Formal causal models
Chapter 4: Measures of occurrence
Chapter 5: Measures of effect and measures of association
Chapter 6: Epidemiologic study design with validity and efficiency considerations
Chapter 7: Cohort studies
Chapter 8: Case-control studies
Chapter 9: Public health surveillance
Chapter 10: Field methods
Chapter 11: Studies relying on secondary data
Chapter 12: Confounding and confounders
Chapter 13: Measurement and measurement error
Chapter 14: Selection bias and generalizability
Chapter 15: Precision and study size
Chapter 16: Fundamentals of epidemiologic data analysis
Chapter 17: Introduction to categorical statistics
Chapter 18: Stratification and standardization
Chapter 19: Categorical analysis of polytomous exposures and outcome
Chapter 20: Regression analysis part I: model specification
Chapter 21: Regression analysis part II: model fitting and assessment
Chapter 22: Time-to-event analysis
Chapter 23: Introduction to Bayesian statistics
Chapter 24: Longitudinal and cluster-correlated data analysis
Chapter 25: Causal inference with time-varying exposures
Chapter 26: Analysis of interaction
Chapter 27: Mediation analysis
Chapter 28: Instrumental variables and quasi-experimental approaches
Chapter 29: Bias analysis
Chapter 30: Ecologic studies and analysis
Chapter 31: Agent-based modeling
Chapter 32: Infectious disease epidemiology
Chapter 33: Reproductive epidemiology
Chapter 34: Psychiatric epidemiology
Chapter 35: Clinical epidemiology
Chapter 36: Molecular epidemiology
Chapter 37: Genetic epidemiology
Chapter 38: Injury and violence epidemiology
Chapter 39: Social epidemiology
Chapter 40: Environmental epidemiology
Chapter 41: Occupational epidemiology
Chapter 42: Nutritional epidemiology
Chapter 43: Pharmacoepidemiology.

Summary:

"Modern Epidemiology covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical reference, and causal diagrams. Topics in data analysis range from basic tabular analyses to stratified analysis, multiple comparisons, Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propensity scores and other scoring methods, and g-estimation."--BOOK JACKET. 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 meas."