Modern Epidemiology
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Now in a fully revised Fourth Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field. This edition continues to provide comprehensive coverage of the principles and methods for the design, analysis, and interpretation of epidemiologic research. Featuring a new format allowing space for margin notes, this edition• Reflects both the conceptual development of this evolving science and the increasing role that epidemiology plays in improving public health and medicine.
• Features new coverage of methods such as agent-based modeling, quasi-experimental designs, mediation analysis, and causal modeling. • Updates coverage of methods such as concepts of interaction, bias analysis, and time-varying designs and analysis. • Continues to cover the full breadth of epidemiologic methods and concepts, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, field methods, surveillance, ecologic designs, and use of secondary data sources.
• Includes data analysis topics such as Bayesian analysis, probabilistic bias analysis, time-to-event analysis, and an extensive overview of modern regression methods including logistic and survival regression, splines, longitudinal and cluster-correlated/hierarchical data analysis, propensity scores and other scoring methods, and marginal structural models. • Summarizes the history, specialized aspects, and future directions of topical areas, including among others social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, psychiatric epidemiology, injury and violence epidemiology, and pharmacoepidemiology.
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- Wolters Kluwer Health
- 9781975166298
- 9781451193282
- ePub
- 4
- Timothy L. Lash; Tyler J. VanderWeele; Sebastien Haneause; Kenneth Rothman
- English
- 2020-12-11
- 10
- 2
- 2
Kaflar
- Cover image
- Title
- Copyright
- Contents
- Preface and Acknowledgments
- Contributors
- PART I Foundations
- 1 The Scope of Epidemiology
- 2 Causal Inference and Scientific Reasoning
- 3 Formal Causal Models
- 4 Measures of Occurrence
- 5 Measures of Effect and Measures of Association
- 6 Epidemiologic Study Design With Validity and Efficiency Considerations
- PART II Study Design and Interpretation
- 7 Cohort Studies
- 8 Case-Control Studies
- 9 Public Health Surveillance
- 10 Field Methods
- 11 Studies Relying on Secondary Data
- 12 Confounding and Confounders
- 13 Measurement and Measurement Error
- 14 Selection Bias and Generalizability
- 15 Precision and Study Size
- PART III Data Analysis
- 16 Fundamentals of Epidemiologic Data Analysis
- 17 Introduction to Categorical Statistics
- 18 Stratification and Standardization
- 19 Categorical Analysis of Polytomous Exposures and Outcomes
- 20 Regression Analysis Part I: Model Specification
- 21 Regression Analysis Part II: Model Fitting and Assessment
- 22 Time-To-Event Analysis
- 23 Introduction to Bayesian Statistics
- 24 Longitudinal and Cluster-Correlated Data Analysis
- 25 Causal Inference With Time-Varying Exposures
- 26 Analysis of Interaction
- 27 Mediation Analysis
- 28 Instrumental Variables and Quasi-Experimental Approaches
- 29 Bias Analysis
- 30 Ecologic Studies and Analysis
- 31 Agent-Based Modeling
- PART IV Special Topics
- 32 Infectious Disease Epidemiology
- 33 Reproductive Epidemiology
- 34 Psychiatric Epidemiology
- 35 Clinical Epidemiology
- 36 Molecular Epidemiology
- 37 Genetic Epidemiology
- 38 Injury and Violence Epidemiology
- 39 Social Epidemiology
- 40 Environmental Epidemiology
- 41 Occupational Epidemiology
- 42 Nutritional Epidemiology
- 43 Pharmacoepidemiology
- Index