The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin.
Breast cancer
Environmental exposure
Estimation bias
Left truncation
Simulation study
Journal
European journal of epidemiology
ISSN: 1573-7284
Titre abrégé: Eur J Epidemiol
Pays: Netherlands
ID NLM: 8508062
Informations de publication
Date de publication:
Jan 2022
Jan 2022
Historique:
received:
01
11
2020
accepted:
15
06
2021
pubmed:
14
7
2021
medline:
29
1
2022
entrez:
13
7
2021
Statut:
ppublish
Résumé
In epidemiology, left-truncated data may bias exposure effect estimates. We analyzed the bias induced by left truncation in estimating breast cancer risk associated with exposure to airborne dioxins. Simulations were run with exposure estimates from a Geographic Information System (GIS)-based metric and considered two hypotheses for historical exposure, three scenarios for intra-individual correlation of annual exposures, and three exposure-effect models. For each correlation/model combination, 500 nested matched case-control studies were simulated and data fitted using a conditional logistic regression model. Bias magnitude was assessed by estimated odds-ratios (ORs) versus theoretical relative risks (TRRs) comparisons. With strong intra-individual correlation and continuous exposure, left truncation overestimated the Beta parameter associated with cumulative dioxin exposure. Versus a theoretical Beta of 4.17, the estimated mean Beta (5%; 95%) was 73.2 (67.7; 78.8) with left-truncated exposure and 4.37 (4.05; 4.66) with lifetime exposure. With exposure categorized in quintiles, the TRR was 2.0, the estimated OR
Identifiants
pubmed: 34254231
doi: 10.1007/s10654-021-00776-y
pii: 10.1007/s10654-021-00776-y
doi:
Substances chimiques
Dioxins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
79-93Subventions
Organisme : Agence de l'environnement et de la maîtrise de l'énergie
ID : 1306C0031
Organisme : Fondation ARC pour la Recherche sur le Cancer
ID : INCa-DGOS-INSERM_12563
Informations de copyright
© 2021. Springer Nature B.V.
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