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Epidemiological data and cancer risk assessment: cessation LAG and lingering effect concepts
V. Bencko, C. Chen
Jazyk angličtina Země Česko
Typ dokumentu časopisecké články, práce podpořená grantem
Digitální knihovna NLK
Zdroj
NLK
Free Medical Journals
od 2004
ProQuest Central
od 2009-03-01 do Před 6 měsíci
Medline Complete (EBSCOhost)
od 2006-03-01 do Před 6 měsíci
Nursing & Allied Health Database (ProQuest)
od 2009-03-01 do Před 6 měsíci
Health & Medicine (ProQuest)
od 2009-03-01 do Před 6 měsíci
Public Health Database (ProQuest)
od 2009-03-01 do Před 6 měsíci
ROAD: Directory of Open Access Scholarly Resources
od 1993
- MeSH
- časové faktory MeSH
- dieta škodlivé účinky MeSH
- epidemiologický výzkum - projekt * MeSH
- hodnocení rizik MeSH
- karcinogeny toxicita MeSH
- lidé MeSH
- multicentrické studie jako téma MeSH
- nádory chemicky indukované MeSH
- vystavení vlivu životního prostředí škodlivé účinky analýza MeSH
- vztah mezi dávkou a účinkem léčiva MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Cessation lag and lingering effect are two important aspects of risk assessment, and have potential applications to dose-response analysis in risk assessment. In addition to providing insight into biological mode of action, the concept of cessation lag is useful for economic benefit analy- sis. Concept of effect lingering can be used to analyze epidemiological data by uncovering the hidden biological implications related to disease endpoints, thereby advancing current efforts to characterize and reduce risk assessment uncertainties. Multicentre study design is proposed as a way to increase study size and to mitigate criticism of meta-analysis of independent studies. Individual studies from a multicentre study can be either pooled using original data, or combined by meta-analysis of summarized results. A multicentre study of large cohort or case-control study also offers an exciting opportunity to study the contribution of epigenetic events that may be associated with life-style and environmental risk factors for human health. Methods for optimizing exposure assessment and reducing exposure misclassification represent important but difficult components in epidemiological studies. Biomarkers present a potentially useful approach for improving exposure estimates.
Citace poskytuje Crossref.org
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