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Research Methods in Occupational Epidemiology, 2nd Edition
Comment from the Stata technical groupOccupational epidemiology concerns illnesses and injuries related to the workplace environment rather than those from nutritional, environmental, or pharmacological sources. Although all branches of epidemiology use the same basic statistical principles, Research Methods in Occupational Epidemiology, Second Edition focuses on those principles that relate most to occupational epidemiology: hazard identification, accurate exposure measurement, the effects of measurement error in exposure assessment, and public policy development. Checkoway, Pearce, and Kriebel work through the standard statistical methods and end each chapter with an extensive bibliography, making the book an excellent desk reference for practicing epidemiologists, occupational or otherwise. Table of contentsPreface
1 Introduction
Historical Background
The Scope of Occupational Epidemiology 2 Characterizing the Workplace Environment
General Concepts of Exposure and Dose
Approaches to Exposure Assessment Reliability and Validity of Exposure Assessment Combining Exposure Data from Multiple Sources 3 Overview of Study Design
Case Series
Cohort Studies Case–Control Studies Proportionate Mortality Studies Connections between Study Designs 4 Precision and Validity in Study Design
Precision
Validity Effect Modification and Estimation of Joint Effects 5 Cohort Studies
Basic Cohort Design
Methods of Data Analysis Strategies of Analysis Planning a Cohort Study 6 Case–Control Studies
Basic Study Design
Selection of Cases Selection of Controls Exposure Data Data Analysis 7 Cross-sectional and Repeated Measure Studies
Study Design Features
Sources of Health and Exposure Data Subject Selection Options Methods of Data Analysis Sources of Bias in Cross-sectional Studies Planning Cross-sectional and Repeated Measures Studies 8 Occupational Health Surveillance
Defining Surveillance
Selecting Health Outcomes for Surveillance Subject Selection Options Methods of Data Analysis Sources of Bias in Cross-sectional Studies Planning Cross-sectional and Repeated Measures Studies 9 Advanced Statistical Analysis
Continuous Outcome Data
Dichotomous Outcome Data Model Specification 10 Exposure and Dose Modeling
The Starting Point: The Exposure Portfolio
Summary Measures of Exposure Understanding the Exposure–Dose Relation Is Dose the Right Metric The Dosimetric Model Incorporating Inter-individual Variability into Dose Metrics Exposure Weighting Induction Time Analysis Multistage Cancer Model Choosing the Best Measure of Exposure or Dose Strengths and Limitations of Dose Modeling 11 Special Applications of Occupational Epidemiology
Meta-analysis
Data Pooling Risk Assessment |
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