Structured Measurement Error in Nutritional Epidemiology
نویسندگان
چکیده
منابع مشابه
Structured measurement error in nutritional epidemiology: applications in the Pregnancy, Infection, and Nutrition (PIN) Study.
Preterm birth, defined as delivery before 37 completed weeks' gestation, is a leading cause of infant morbidity and mortality. Identifying factors related to preterm delivery is an important goal of public health professionals who wish to identify etiologic pathways to target for prevention. Validation studies are often conducted in nutritional epidemiology in order to study measurement error i...
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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...
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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...
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Nutritional epidemiology relies largely on self-reported measures of dietary intake, errors in which give biased estimated diet-disease associations. Self-reported measurements come from questionnaires and food records. Unbiased biomarkers are scarce; however, surrogate biomarkers, which are correlated with intake but not unbiased, can also be useful. It is important to quantify and correct for...
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We propose a semiparametric Bayesian method for handling measurement error in nutritional epidemiological data. Our goal is to estimate nonparametrically the form of association between a disease and exposure variable while the true values of the exposure are never observed. Motivated by nutritional epidemiological data, we consider the setting where a surrogate covariate is recorded in the pri...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2007
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214506000000771