The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Case???Crossover Analyses of Air Pollution Exposure Data: Referent Selection Strategies and Their Implications for Bias
Abstract
The case-crossover design has been widely used to study the association between short-term air pollution exposure and the risk of an acute adverse health event. The design uses cases only; for each individual case, exposure just before the event is compared with exposure at other control (or "referent") times. Time-invariant confounders are controlled by making within-subject comparisons. Even more important in the air pollution setting is that time-varying confounders can also be controlled by design by matching referents to the index time. The referent selection strategy is important for reasons in addition to control of confounding. The case-crossover design makes the implicit assumption that there is no trend in exposure across the referent times. In addition, the statistical method that is used-conditional logistic regression-is unbiased only with certain referent strategies. We review here the case-crossover literature in the air pollution context, focusing on key issues regarding referent selection. We conclude with a set of recommendations for choosing a referent strategy with air pollution exposure data. Specifically, we advocate the time-stratified approach to referent selection because it ensures unbiased conditional logistic regression estimates, avoids bias resulting from time trend in the exposure series, and can be tailored to match on specific time-varying confounders.
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Citations
Cites
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Statistical Methods in Cancer Research
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The Case-Crossover Design: A Method for Studying Transient Effects on the Risk of Acute Events
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Increased Particulate Air Pollution and the Triggering of Myocardial Infarction
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Referent Selection in Case-Crossover Analyses of Acute Health Effects of Air Pollution
Levy, D., Lumley, T., Sheppard, L., Kaufman, J., & Checkoway, H. (2001) · Epidemiology · doi:10.1097/00001648-200103000-00010 · Cited by 494
Self-citationControl Sampling Strategies for Case-Crossover Studies: An Assessment of Relative Efficiency
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Evidence for an Association Between Air Pollution and Daily Stroke Admissions in Kaohsiung, Taiwan
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Bias in the case - crossover design: implications for studies of air pollution
Lumley, T., & Levy, D. G. (2000) · Environmetrics · doi:10.1002/1099-095x(200011/12)11:6<745::aid-env431>3.3.co;2-e · Cited by 261
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Cited by
Association between PM2.5 and all-cause and specific-cause mortality in 27 US communities
Franklin, M., Zeka, A., & Schwartz, J. (2007) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/sj.jes.7500530 · Cited by 466
Conditional Poisson models: a flexible alternative to conditional logistic case cross-over analysis
Armstrong, B. G., Gasparrini, A., & Tobias, A. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-122 · Cited by 435
Strickland, M. J., Darrow, L. A., Klein, M., Flanders, W. D., Sarnat, J. A., Waller, L. A., Sarnat, S. E., Mulholland, J. A., & Tolbert, P. E. (2010) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200908-1201oc · Cited by 349
Carracedo-Martínez, E., Taracido, M., Tobias, A., Saez, M., & Figueiras, A. (2010) · Environmental Health Perspectives · doi:10.1289/ehp.0901485 · Cited by 339
Cassidy, J. D., Boyle, E., Côté, P., He, Y., Hogg-Johnson, S., Silver, F. L., & Bondy, S. J. (2008) · Spine · doi:10.1097/brs.0b013e3181644600 · Cited by 287
Metadata
- Authors
- Janes, H., Sheppard, L., & Lumley, T.
- Venue
- Epidemiology
- Published
- 2005-11
- Volume
- 16
- Issue
- 6
- Pages
- 717-726
- ISSN
- 1044-3983 (ISSN-L)
- OpenAlex
- W2061332916
- Cited by
- 771
- References
- 43
- FWCI
- 11.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- Janes, H., Sheppard, L., & Lumley, T. (2005). Case???Crossover Analyses of Air Pollution Exposure Data: Referent Selection Strategies and Their Implications for Bias. Epidemiology. https://doi.org/10.1097/01.ede.0000181315.18836.9d
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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