
Maximizing accuracy and precision using individual and grouped exposure assessments
Author(s) -
Noah S. Seixas,
Lianne Sheppard
Publication year - 1996
Publication title -
scandinavian journal of work, environment and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.621
H-Index - 103
eISSN - 1795-990X
pISSN - 0355-3140
DOI - 10.5271/sjweh.116
Subject(s) - statistics , estimator , log normal distribution , mathematics , exposure assessment , monte carlo method , regression , correction for attenuation , attenuation , econometrics , physics , optics
Random errors in exposure data were explored to determine their effect on exposure-response relationships using individual, grouped, or combined (grouped and individual) exposure assessment methods.