JSM 2005 - Toronto

Abstract #303118

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 198
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303118
Title: Measurement Error Correction for Nutritional Exposures with Correlated Measurement Error: Use of the Method of Triads in a Longitudinal Setting
Author(s): Bernard Rosner*+
Companies: Harvard Medical School
Address: 181 Longwood Avenue, Boston, MA, 02115, United States
Keywords: Measurement Error ; Nutritional Epidemiology ; Biomarker ; longitudinal data
Abstract:

Nutritional exposures often are measured with considerable error in commonly used surrogate instruments such as the food frequency questionnaire (FFQ) denoted by Qi for the ith subject. The error can be both systematic and random. The diet record (DR) is considered a gold standard instrument where a subject reports the quantity of each food eaten in real time (denoted by Ri) for the ith subject. However, some authors have reported both systematic and random error with this instrument. The goal in measurement error research is to estimate the regression coefficient of Ti on Qi ( ), where Ti = true intake for the ith subject. In this paper, we propose a method for indirectly estimating even in the presence of correlated systematic error for FFQ, DR based on a longitudinal design where Qi, Ri, and a biomarker Mi are available on the same subjects at two points in time. The methodology is illustrated for dietary vitamin C intake based on longitudinal data from 328 subjects in the EPIC-Norfolk Study who provided two measures of Qi, Ri (dietary vitamin C intake from the FFQ and a seven-day DR) and Mi (plasma vitamin C) four years apart.


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Revised March 2005