Editorial
Bias in Cross-Sectional and Longitudinal Estimates of Pulmonary Function Decline: A Different Perspective
Chronic obstructive pulmonary disease, v 2(4), pp 393-394
2005
PMID: 17147003
Abstract
In this issue, Hendrick and colleagues report an ambitious simulation study designed to investigate how differences between cohorts in highest attained FEV1 during young adulthood (cohort effects) affect cross-sectional and longitudinal estimates of the effects of aging and environmental exposures on FEV1. The investigators developed an unusually sophisticated simulation model in an effort to provide a realistic representation of the many factors that influence exposure, retention, and survival of members of a cohort. Among other features, the model assumes that the probability of beginning work in a dusty occupation, the probabilities of continuing smoking and dusty work, and the probability of survival all depend on an individual's level of FEV1. Specifically, the probabilities of both beginning and continuing the exposures increase with the concurrent level of FEV1. These assumptions are related to the “healthy worker effect” that has posed a substantial challenge in occupational epidemiology. [1st paragraph]
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Details
- Title
- Bias in Cross-Sectional and Longitudinal Estimates of Pulmonary Function Decline: A Different Perspective
- Creators
- James H Ware - Harvard UniversityBrisa N Sánchez - Harvard University
- Publication Details
- Chronic obstructive pulmonary disease, v 2(4), pp 393-394
- Publisher
- Informa UK Ltd
- Number of pages
- 2
- Resource Type
- Editorial
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Scopus ID
- 2-s2.0-33745080248
- Other Identifier
- 991014878113504721