Open AccessAn Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies
Author(s) -
Céline Vernet,
Claire Philippat,
Lydiane Agier,
Antònia M. Calafat,
Xiaoyun Ye,
Sarah Lyon-Caen,
Pierre Hainaut,
Valérie Siroux,
Enrique F. Schisterman,
Rémy Slama
Publication year - 2019
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0000000000001056
Subject(s) - methylparaben , environmental science , bisphenol a , pooling , exposure assessment , statistics , environmental chemistry , chemistry , computer science , mathematics , food science , preservative , epoxy , artificial intelligence , organic chemistry
Within-subject biospecimens pooling can theoretically reduce bias in dose-response functions from biomarker-based studies when exposure assessment suffers from classical-type error. However, collecting many urine voids each day is cumbersome. We evaluated the empirical validity of a within-subject pooling approach and compared several options to avoid sampling each void.