Correlated measurement error--implications for nutritional epidemiology
نویسندگان
چکیده
منابع مشابه
Seemingly unrelated measurement error models, with application to nutritional epidemiology.
Motivated by an important biomarker study in nutritional epidemiology, we consider the combination of the linear mixed measurement error model and the linear seemingly unrelated regression model, hence Seemingly Unrelated Measurement Error Models. In our context, we have data on protein intake and energy (caloric) intake from both a food frequency questionnaire (FFQ) and a biomarker, and wish t...
متن کاملMeasurement error: effects and remedies in nutritional epidemiology.
Nutritional epidemiology is concerned to elucidate the relationship between intakes of specific foods and nutrients, and specified health outcomes. Usually the outcome of interest is the incidence of a disease. Typically epidemiological evidence for such a relationship exists at two levels: (1) the macro level, in which each data-point refers to an aggregation of subjects for example, a country...
متن کاملPractice of Epidemiology Correlated Biomarker Measurement Error: An Important Threat to Inference in Environmental Epidemiology
Utilizing multiple biomarkers is increasingly common in epidemiology. However, the combined impact of correlated exposure measurement error, unmeasured confounding, interaction, and limits of detection (LODs) on inference for multiple biomarkers is unknown. We conducted data-driven simulations evaluating bias from correlated measurement error with varying reliability coefficients (R), odds rati...
متن کاملReducing Measurement Error in Nutrition Assessment: Potential Research Implications for Iran
Self-reported measures of dietary intake are prone to measurement error that may obscure the relationship of diet and disease. This review addresses strategies to decrease errors during collection of dietary data and statistical approaches to deal with measurement issues once the data are collected. Examples from two US studies-- the Women’s Health Initiative (WHI) Dietary Modificat...
متن کاملA toolkit for measurement error correction, with a focus on nutritional epidemiology
Exposure measurement error is a problem in many epidemiological studies, including those using biomarkers and measures of dietary intake. Measurement error typically results in biased estimates of exposure-disease associations, the severity and nature of the bias depending on the form of the error. To correct for the effects of measurement error, information additional to the main study data is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Epidemiology
سال: 2004
ISSN: 1464-3685
DOI: 10.1093/ije/dyh138