Project Summary Measurement Error Estimation and Correction Methods to Minimize Exposure Misclassification in Epidemiological Studies
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چکیده
This project summary highlights recent findings from research undertaken to develop improved methods to assess potential human health risks related to drinking water disinfection byproduct (DBP) exposures. The primary objective of this research was to examine the utility of routinely collected monitoring data to estimate individual-level exposures in epidemiological studies. Another specific aim was to estimate the potential for exposure misclassification bias due to a variety of sources including (1) unmeasured spatial variability in town average surrogate measures and (2) lack of integration of individual water use practices data including exposure-modifying factors. In addition to quantifying potential exposure misclassification bias, we developed an approach to correct for measurement error that may cause this bias.
منابع مشابه
تحلیل وضعیت آنژین صدری بر اساس احتمالات طبقه بندی نادرست عامل خطر سیگار در مطالعه قند و لیپید تهران، 79-1378
Misclassification of disease status and risk factors is one of the main sources of error in studies. Wrong assignment of individuals into exposed and non-exposed groups may seriously distort the results in case-control studies. This study investigates the effect of misclassification error on odds ratio estimates and attempts to introduce a correction method. Data on 3332 men aged 30-69 years fr...
متن کاملDifferential misclassification arising from nondifferential errors in exposure measurement.
Misclassification into exposure categories formed from a continuous variable arises from measurement error in the continuous variable. Examples and mathematical results are presented to show that if the measurement error is nondifferential (independent of disease status), the resulting misclassification will often be differential, even in cohort studies. The degree and direction of differential...
متن کاملEVect of measurement error on epidemiological studies of environmental and occupational exposures
Random error (misclassification) in exposure measurements usually biases a relative risk, regression coeYcient, or other eVect measure towards the null value (no association). The most important exception is Berkson type error, which causes little or no bias. Berkson type error arises, in particular, due to use of group average exposure in place of individual values. Random error in exposure me...
متن کاملEffect of measurement error on epidemiological studies of environmental and occupational exposures.
Random error (misclassification) in exposure measurements usually biases a relative risk, regression coefficient, or other effect measure towards the null value (no association). The most important exception is Berkson type error, which causes little or no bias. Berkson type error arises, in particular, due to use of group average exposure in place of individual values. Random error in exposure...
متن کاملAsymptotic variance estimation for the misclassification SIMEX
Most epidemiological studies suffer from misclassification in the response and/or the covariates. Since ignoring misclassification induces bias on the parameter estimates, correction for such errors is important. For measurement error, the continuous analog to misclassification, a general approach for bias correction is the SIMEX (simulation extrapolation) originally suggested by Cook and Stefa...
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تاریخ انتشار 2008