Bias in the case-crossover design: Implications for studies of air pollution

Environmetrics

Volumn 11, Issue 6, 2000, Pages 689-704

  Lumley, Thomas ^a   Levy, Drew ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Case control study; Epidemiology; Fine particles; Poisson regression; Time series

Indexed keywords

ATMOSPHERIC POLLUTION; HEALTH RISK; MAXIMUM LIKELIHOOD ANALYSIS; POLLUTION EXPOSURE;

EID: 0034538563     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/1099-095X(200011/12)11:6<689::AID-ENV439>3.0.CO;2-N     Document Type: Article

References (14)

1. Bias arising in case-control studies from selection of controls from overlapping groups
2. Confounding and exposure trends in case-crossover and case-time-control designs
3. A unified approach to the analysis of case-distribution (case-only) studies
4. Frequency domain log-linear models; air pollution and mortality
5. Reanalysis of the effects of air pollution on daily mortality in Seoul, Korea: A case-crossover design
6. The case-crossover design: A method for studying transient effects on the risk of acute events
7. Control sampling strategies for case-crossover studies: An assessment of relative efficiency
8. Bidirectional case-crossover designs for exposures with time trends
9. A case-crossover analysis of air pollution and mortality in Philadelphia
10. The validity of case-controls studies with nonrandom selection of controls
11. The association of mortality and particulate air pollution
12. Dietary intake and cell membrane levels of long-chain n-3 polyunsaturated fatty acids and the risk of primary cardiac arrest