Reducing Bias Due to Exposure Measurement Error Using Disease Risk Scores
Suppose that an investigator wants to estimate an association between a continuous exposure variable and an outcome, adjusting for a set of confounders. If the exposure variable suffers classical measurement error, in which the measured exposures are distributed with independent error around the true exposure, then an estimate of the covariate-adjusted exposure-outcome association may be biased. R
https://www.lupop.lu.se/article/reducing-bias-due-exposure-measurement-error-using-disease-risk-scores - 2025-12-19
