TY - JOUR
T1 - Impact of measurement error in radon exposure on the estimated excess relative risk of lung cancer death in a simulated study based on the French Uranium Miners' Cohort
AU - Allodji, Rodrigue S.
AU - Leuraud, Klervi
AU - Thiébaut, Anne C.M.
AU - Henry, Stéphane
AU - Laurier, Dominique
AU - Bénichou, Jacques
PY - 2012/5/1
Y1 - 2012/5/1
N2 - Measurement error (ME) can lead to bias in the analysis of epidemiologic studies. Here a simulation study is described that is based on data from the French Uranium Miners' Cohort and that was conducted to assess the effect of ME on the estimated excess relative risk (ERR) of lung cancer death associated with radon exposure. Starting from a scenario without any ME, data were generated containing successively Berkson or classical ME depending on time periods, to reflect changes in the measurement of exposure to radon ( 222Rn) and its decay products over time in this cohort. Results indicate that ME attenuated the level of association with radon exposure, with a negative bias percentage on the order of 60% on the ERR estimate. Sensitivity analyses showed the consequences of specific ME characteristics (type, size, structure, and distribution) on the ERR estimates. In the future, it appears important to correct for ME upon analyzing cohorts such as this one to decrease bias in estimates of the ERR of adverse events associated with exposure to ionizing radiation.
AB - Measurement error (ME) can lead to bias in the analysis of epidemiologic studies. Here a simulation study is described that is based on data from the French Uranium Miners' Cohort and that was conducted to assess the effect of ME on the estimated excess relative risk (ERR) of lung cancer death associated with radon exposure. Starting from a scenario without any ME, data were generated containing successively Berkson or classical ME depending on time periods, to reflect changes in the measurement of exposure to radon ( 222Rn) and its decay products over time in this cohort. Results indicate that ME attenuated the level of association with radon exposure, with a negative bias percentage on the order of 60% on the ERR estimate. Sensitivity analyses showed the consequences of specific ME characteristics (type, size, structure, and distribution) on the ERR estimates. In the future, it appears important to correct for ME upon analyzing cohorts such as this one to decrease bias in estimates of the ERR of adverse events associated with exposure to ionizing radiation.
KW - Excess relative risk model
KW - Lung cancer
KW - Measurement error
KW - Poisson regression analysis
KW - Radon
KW - Uranium Miners
UR - http://www.scopus.com/inward/record.url?scp=84863778525&partnerID=8YFLogxK
U2 - 10.1007/s00411-012-0403-3
DO - 10.1007/s00411-012-0403-3
M3 - Article
C2 - 22310908
AN - SCOPUS:84863778525
SN - 0301-634X
VL - 51
SP - 151
EP - 163
JO - Radiation and Environmental Biophysics
JF - Radiation and Environmental Biophysics
IS - 2
ER -