Ezra Susser, Sharon Schwartz, Alfredo Morabia, and Evelyn Bromet

Print publication date: 2006

Print ISBN-13: 9780195101812

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195101812.001.0001

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ContentsFRONT MATTER

Title Pages
Dedication
Foreword
Preface
References
[UNTITLED]
Acknowledgments
Contributors
I Psychiatric Epidemiology, Then And Now
- 1 The Burden of Mental Illness
- 2 The Arc of Epidemiology
- 3 Searching for the Causes of Mental Disorders
II Risk Factors As Causes Of Mental Disorders
- 4 What Is a Cause?
- 5 Detecting Causes
- 6 Study Designs
- 7 Relationships among Causes
- 8 Measures of Association
III Cohort Designs In Psychiatric Epidemiology
- 9 Prototypical Cohort Study
- 10 Diversity of Cohort Studies
- 11 Causal Inference: A Thought Experiment
- 12 Confounding: What It Is and What Can Be Done
- 13 Unequal Attrition under Different Types of Follow-Up
- 14 Differential Misclassification
IV Case-Control Designs in Psychiatric Epidemiology
- 15 Logic of the Case-Control Design
- 16 Applications of the Case-Control Study
- 17 Choosing Controls
- 18 Comparability and the Case-Control Study
V Case-Control Designs in Biologic Psychiatry
- 19 Biologic Studies in Psychiatry
- 20 Choosing Cases in Biologic Psychiatry
- 21 Choosing Controls in Biologic Psychiatry
VI Analyzing The Data
- 22 Gauging the Precision of Measures of Association
- 23 Using Significance Tests in Establishing Associations
- 24 Planning Studies: Estimating Power and Sample Size
- 25 Adjustment for Covariates
- 26 Event Time Analysis
- 27 Assessing Heterogeneity of Effects
VII The Search For Genetic Causes Of Mental Disorders
- 28 Integrating Epidemiology with Genetics
- 29 Genetic Association Studies
- 30 Modern Family History Studies
- 31 Twin Studies of Heritability
- 32 Genetic Linkage Studies
- 33 Designs for the Genomic Era
VIII Complex Causal Relationships
- 34 Eco-Epidemiology
- 35 Causal Explanation within a Risk Factor Framework
- 36 Causal Explanation Outside the Black Box
- 37 Dependent and Dynamic Processes
END MATTER
Appendix A Our Approach to Epidemiologic Concepts and Methods
References
[UNTITLED]
Appendix B Application of Survival Analysis to Prenatal Determinants of Schizophrenia Example (PDSE) Data
References
Glossary
Index

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Unequal Attrition under Different Types of Follow-Up

Chapter:: (p. 151 ) 13 Unequal Attrition under Different Types of Follow-Up
Source:: Psychiatric Epidemiology
Author(s):: Ezra Susser
Sharon Schwartz
Alfredo Morabia
Evelyn J. Bromet
Publisher:: Oxford University Press

DOI:10.1093/acprof:oso/9780195101812.003.13

This chapter provides a framework for the prevention and control of bias due to unequal attrition in cohort studies. Like the effects of third-variable confounding, the effects of unequal attrition can be limited by the design, as well as the analysis, of a cohort study. The most problematic kind of attrition is differential. This kind of attrition causes a bias that may not be remediable. The chapter uses sensitivity analysis to gauge the potential bias.

Keywords: cohort studies, cohort attrition, bias, exposure, disease, data analysis, sensitivity analysis

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Ezra Susser, Sharon Schwartz, Alfredo Morabia, and Evelyn Bromet

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Unequal Attrition under Different Types of Follow-Up

Ezra Susser

Sharon Schwartz

Alfredo Morabia

Evelyn J. Bromet