Description
Efnisyfirlit
- 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