Epidemiologic Research: Principles and Quantitative MethodsISBN: 978-0-471-28985-2
Hardcover
560 pages
January 1991
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Key Issues in Epidemiologic Research: An Overview.
OBJECTIVES AND METHODS OR EPIDEMIOLOGIC RESEARCH.
Fundamentals of Epidemiologic Research.
Types of Epidemiologic Research.
Design Options in Observational Studies.
Typology of Observational Study Designs.
Measures of Disease Frequency: Incidence.
Other Measures of Disease Frequency.
Measures of Association.
Measures of Potential Impact and Summary of the Measures.
VALIDITY OF EPIDEMIOLOGIC RESEARCH.
Validity: General Considerations.
Selection Bias.
Information Bias.
Confounding.
Confounding Involving Several Risk Factors.
PRINCIPLES AND PROCEDURES OF EPIDEMIOLOGIC ANALYSIS.
Statistical Inferences About Effect Measures: SimpleAnalysis.
Overview of Options for Control of Extraneous Factors.
Stratified Analysis.
Matching in Epidemiologic Studies.
Interaction, Effect Modification, and Synergism.
Modeling: Theoretical Considerations.
Modeling: Analysis Strategy.
Applications of Modeling with No Interaction.
Applications of Logistic Regression with Interaction, UsingUnconditional ML Estimation.
Applications of Modeling: Conditional Likelihood Estimation.
Appendices.
Index.
OBJECTIVES AND METHODS OR EPIDEMIOLOGIC RESEARCH.
Fundamentals of Epidemiologic Research.
Types of Epidemiologic Research.
Design Options in Observational Studies.
Typology of Observational Study Designs.
Measures of Disease Frequency: Incidence.
Other Measures of Disease Frequency.
Measures of Association.
Measures of Potential Impact and Summary of the Measures.
VALIDITY OF EPIDEMIOLOGIC RESEARCH.
Validity: General Considerations.
Selection Bias.
Information Bias.
Confounding.
Confounding Involving Several Risk Factors.
PRINCIPLES AND PROCEDURES OF EPIDEMIOLOGIC ANALYSIS.
Statistical Inferences About Effect Measures: SimpleAnalysis.
Overview of Options for Control of Extraneous Factors.
Stratified Analysis.
Matching in Epidemiologic Studies.
Interaction, Effect Modification, and Synergism.
Modeling: Theoretical Considerations.
Modeling: Analysis Strategy.
Applications of Modeling with No Interaction.
Applications of Logistic Regression with Interaction, UsingUnconditional ML Estimation.
Applications of Modeling: Conditional Likelihood Estimation.
Appendices.
Index.