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A statistical model for measurement error that incorporates variation over time in the target measure, with application to nutritional epidemiology.

Most statistical methods that adjust analyses for measurement error assume that the target exposure T is a fixed quantity for each individual. However, in many applications, the value of T for an individual varies with time. We develop a model that accounts for such variation, describing the model w...

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Published in:Statistics in Medicine Vol. 34; no. 27; pp. 3590 - 3606
Main Authors: Freedman, Laurence S., Midthune, Douglas, Dodd, Kevin W., Carroll, Raymond J., Kipnis, Victor
Format: equations & formulas research tables/charts Journal Article
Published: Wiley-Blackwell Nov2015
Online Access:View this record in EBSCOhost
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      jtl: Statistics in Medicine
      issn: 02776715
      maglogo: Y
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      dt: Nov2015
      vid: 34
      iid: 27
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        110589955
        10.1002/sim.6577
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        atl: A statistical model for measurement error that incorporates variation over time in the target measure, with application to nutritional epidemiology.
      aug:
        au:
          Freedman, Laurence S.
          Midthune, Douglas
          Dodd, Kevin W.
          Carroll, Raymond J.
          Kipnis, Victor
        affil: Information Management Services, Inc., Rockville MD, U.S.A.
      sug:
        subj:
          Models, Statistical
          Energy Intake
          Bias (Research)
          Male
          Aged
          Time Factors
          Aged, 80 and Over
          Diet Records
          Adult
          Female
          Middle Age
          Self Report
          Memory
          Human
          Aged: 65+ years
          Aged, 80 & over
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Most statistical methods that adjust analyses for measurement error assume that the target exposure T is a fixed quantity for each individual. However, in many applications, the value of T for an individual varies with time. We develop a model that accounts for such variation, describing the model within the framework of a meta-analysis of validation studies of dietary self-report instruments, where the reference instruments are biomarkers. We demonstrate that in this application, the estimates of the attenuation factor and correlation with true intake, key parameters quantifying the accuracy of the self-report instrument, are sometimes substantially modified under the time-varying exposure model compared with estimates obtained under a traditional fixed-exposure model. We conclude that accounting for the time element in measurement error problems is potentially important.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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