Literature DB >> 8337549

Measurement error in dietary assessment: an investigation using covariance structure models. Part I.

M Plummer1, D Clayton.   

Abstract

Repeated measures of diet are analysed in an attempt to discover the measurement error properties of various dietary assessment methods. It is customary in such studies to assume that one reference measurement is 'valid' (without error) but this assumption is not tenable. An alternative approach, widely used in social science, is to model the covariance matrix of the repeated measures. We apply this methodology to assessments of nitrogen intake, which is essentially equivalent to protein intake.

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Year:  1993        PMID: 8337549     DOI: 10.1002/sim.4780121004

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  13 in total

1.  Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Authors:  Amy F Subar; Laurence S Freedman; Janet A Tooze; Sharon I Kirkpatrick; Carol Boushey; Marian L Neuhouser; Frances E Thompson; Nancy Potischman; Patricia M Guenther; Valerie Tarasuk; Jill Reedy; Susan M Krebs-Smith
Journal:  J Nutr       Date:  2015-10-14       Impact factor: 4.798

2.  Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles.

Authors:  D O Stram; J H Hankin; L R Wilkens; M C Pike; K R Monroe; S Park; B E Henderson; A M Nomura; M E Earle; F S Nagamine; L N Kolonel
Journal:  Am J Epidemiol       Date:  2000-02-15       Impact factor: 4.897

3.  Methods to Assess Measurement Error in Questionnaires of Sedentary Behavior.

Authors:  Joshua N Sampson; Charles E Matthews; Laurence Freedman; Raymond J Carroll; Victor Kipnis
Journal:  J Appl Stat       Date:  2016-03-17       Impact factor: 1.404

4.  On the importance of using multiple methods of dietary assessment.

Authors:  Loki Natarajan; Cheryl L Rock; Jacqueline M Major; Cynthia A Thomson; Bette J Caan; Shirley W Flatt; Janice A Chilton; Kathryn A Hollenbach; Vicky A Newman; Susan Faerber; Cheryl K Ritenbaugh; Ellen Gold; Marcia L Stefanick; Lovell A Jones; James R Marshall; John P Pierce
Journal:  Epidemiology       Date:  2004-11       Impact factor: 4.822

5.  Associations between dietary macronutrient intake and plasma lipids demonstrate criterion performance of the Multi-Ethnic Study of Atherosclerosis (MESA) food-frequency questionnaire.

Authors:  Jennifer A Nettleton; Cheryl L Rock; Youfa Wang; Nancy S Jenny; David R Jacobs
Journal:  Br J Nutr       Date:  2009-05-19       Impact factor: 3.718

6.  Measurement error correction for nutritional exposures with correlated measurement error: use of the method of triads in a longitudinal setting.

Authors:  Bernard Rosner; Karin B Michels; Ya-Hua Chen; Nicholas E Day
Journal:  Stat Med       Date:  2008-08-15       Impact factor: 2.373

7.  Fat, protein, and meat consumption and renal cell cancer risk: a pooled analysis of 13 prospective studies.

Authors:  Jung Eun Lee; Donna Spiegelman; David J Hunter; Demetrius Albanes; Leslie Bernstein; Piet A van den Brandt; Julie E Buring; Eunyoung Cho; Dallas R English; Jo L Freudenheim; Graham G Giles; Saxon Graham; Pamela L Horn-Ross; Niclas Håkansson; Michael F Leitzmann; Satu Männistö; Marjorie L McCullough; Anthony B Miller; Alexander S Parker; Thomas E Rohan; Arthur Schatzkin; Leo J Schouten; Carol Sweeney; Walter C Willett; Alicja Wolk; Shumin M Zhang; Stephanie A Smith-Warner
Journal:  J Natl Cancer Inst       Date:  2008-11-25       Impact factor: 13.506

8.  Validity and systematic error in measuring carotenoid consumption with dietary self-report instruments.

Authors:  Loki Natarajan; Shirley W Flatt; Xiaoying Sun; Anthony C Gamst; Jacqueline M Major; Cheryl L Rock; Wael Al-Delaimy; Cynthia A Thomson; Vicky A Newman; John P Pierce
Journal:  Am J Epidemiol       Date:  2006-03-08       Impact factor: 4.897

9.  Lifetime body size and reproductive factors: comparisons of data recorded prospectively with self reports in middle age.

Authors:  Benjamin J Cairns; Bette Liu; Suzanne Clennell; Rachel Cooper; Gillian K Reeves; Valerie Beral; Diana Kuh
Journal:  BMC Med Res Methodol       Date:  2011-01-17       Impact factor: 4.615

10.  Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders.

Authors:  Emil Kupek
Journal:  BMC Med Res Methodol       Date:  2006-03-15       Impact factor: 4.615

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