A Multivariate Method for Measurement Error Correction Using Pairs of Concentration Biomarkers

Annals of Epidemiology

Volumn 17, Issue 1, 2007, Pages 64-73

  Fraser, Gary E ^a   Yan, Ru ^a  

^a LOMA LINDA UNIVERSITY   (United States)

Author keywords

Biomarkers; Latent Variables; Measurement Error Correction; Nutritional Epidemiology; Regression Calibration; Standardized Regression

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; CALIBRATION; CONCENTRATION (PARAMETERS); EXPOSURE; MEASUREMENT ERROR; MULTIVARIATE ANALYSIS; OUTCOME VARIABLE; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; SIMULATION;

BIAS (EPIDEMIOLOGY); BIOLOGICAL MARKERS; DIET; EATING; EPIDEMIOLOGIC RESEARCH DESIGN; FEEDING BEHAVIOR; FOOD ANALYSIS; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NUTRITION ASSESSMENT; REGRESSION ANALYSIS; RISK;

EID: 33845451680     PISSN: 10472797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.annepidem.2006.08.002     Document Type: Article

References (33)

1. Fraser G.E. A search for truth in dietary epidemiology. Am J Clin Nutr 78 Suppl (2003) S521-S525
2. Rosner B., Spiegelman D., and Willett W.C. Correction of logistic regression relative risk estimates and confidence intervals for measurement error: The case of multiple covariates measured with error. Am J Epidemiol 132 (1990) 734-745
3. Rosner B., Willett W.C., and Spiegelman D. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Stat Med 8 (1989) 1051-1069
4. Kaaks R., Riboli E., and van Staveren W. Calibration of dietary intake measurements in prospective cohort studies. Am J Epidemiol 142 (1995) 548-556
5. Spiegelman D., Schneeweiss S., and McDermott A. Measurement error correction for logistic regression models with an alloyed gold standard. Am J Epidemiol 145 (1997) 184-196
6. Wong M.Y., Day N.E., and Wareham N.J. Measurement error in epidemiology: The design of validation studies II: Bivariate situation. Stat Med 18 (1999) 2831-2845
7. Kipnis V., Carroll R.J., Freedman L.S., and Li L. Implications of a new dietary measurement error model for estimation of relative risk: Application to four calibration studies. Am J Epidemiol 150 (1999) 642-651
8. Fraser G.E., and Stram D.O. Regression calibration in studies with correlated variables measured with error. Am J Epidemiol 154 (2001) 836-844
9. Day N.E., Wong M.Y., Bingham S., Khaw K.T., Luben R., Michels K.B., et al. Correlated measurement error-Implications for nutritional epidemiology. Int J Epidemiol 33 (2004) 1373-1381
10. Spiegelman D., McDermott A., and Rosner B. Regression calibration method for correcting measurement-error bias in nutritional epidemiology. Am J Clin Nutr 65 Suppl (1997) S1179-S1186
11. Kaaks R., Ferrari P., Ciampi A., Plummer M., and Riboli E. Uses and limitations of statistical accounting for random error correlations in the validation of dietary questionnaire assessments. Public Health Nutr 5 (2002) 969-976
12. Kaaks R. Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measurements. Am J Clin Nutr 65 Suppl (1997) S1232-S1239
13. Fraser G.E., Butler T.L., and Shavlik D. Correlations between estimated and true dietary intakes: Using two instrumental variables. Ann Epidemiol 15 (2005) 509-518
14. Day N.E., McKeown N., Wong M.Y., Welch A., and Bingham S. Epidemiologic assessment of diet: A comparison of 7-day diary with food frequency questionnaire using markers of nitrogen, potassium, and sodium. Int J Epidemiol 30 (2001) 309-317
15. Fraser G.E., and Shavlik D.J. Correlations between estimated and true dietary intakes. Ann Epidemiol 14 (2004) 287-295
16. Greenland S., Schlesselman J.J., and Criqui M.H. The fallacy of employing standardized regression coefficients and correlations as measures of effect. Am J Epidemiol 123 (1986) 203-208
17. Greenland S., Maclure M., Schlesselman J.J., Poole C., and Morgenstern H. Standardized regression coefficients: A further critique and review of some alternatives. Epidemiology 2 (1991) 387-392
18. Newman T.B., and Browner W.S. In defense of standardized regression coefficients. Epidemiology 2 (1991) 383-386
19. National Research Council, Subcommittee on Criteria for Dietary Evaluation, Coordinating Committee on Evaluation of Food Consumption Surveys, and Food and Nutrition Board. Nutrient Adequacy: Assessment Using Food Consumption Surveys (1986), National Academic Press, Washington, DC
20. Nusser S.M., Carriquiry A.L., Dodd K.W., and Fuller W.A. A semiparametric transformation approach to estimating usual nutrient intake distributions. J Am Stat Assoc 91 (1996) 1440-1449
21. Freedman L.S., Midthune D., Carroll R.J., Krebs-Smith S., Subar A.F., Troiano R.P., et al. Adjustment to improve the estimation of usual dietary intake distributions in the population. J Nutr 134 (2004) 1836-1843
22. Nutrition Coordinating Center. Nutrition Data Systems, version 2.5. MN: Nutrition Coordinating Center, University of Minnesota; Minneapolis, 1993.
23. Beynen A.C., and Katan M.B. Rapid sampling and long-term storage of subcutaneous adipose-tissue biopsies for determination of fatty acid composition. Am J Clin Nutr 42 (1998) 317-322
24. Efron B., and Tibshirani R.J. Cross-validation and other estimates of prediction error. An Introduction to the Bootstrap (1993), Chapman & Hall, New York 237-257
25. Willett W., and Stampfer M. Implications of total energy intake for epidemiologic analyses. In: Willett W.C. (Ed). Nutritional Epidemiology (1998), Oxford University, New York 273-301
26. Kaaks R., and Ferrari P. Dietary intake assessments in epidemiology: Can we know what we are measuring?. Ann Epidemiol 16 (2006) 377-380
27. Fraser GE, Butler TL. The specificity question in dietary epidemiology [letter]. Ann Epidemiol. In Press.
28. Hunter D. Biochemical indicators of dietary intake. In: Willett W. (Ed). Nutritional Epidemiology (1990), Oxford University, New York 174-243
29. Tasevska N., Runswick S.A., McTaggart A., and Bingham S.A. Urinary sucrose and fructose as biomarkers for sugar consumption. Cancer Epidemiol Biomarkers Prev 14 (2005) 1287-1294
30. Myint T., Fraser G.E., Lindsted K.D., Knutsen S.F., Hubbard R.W., and Bennett H. Urinary 1-methyl histidine is a marker of meat consumption in black and white California Seventh-day Adventists. Am J Epidemiol 152 (2000) 752-755
31. Shapiro T.A., Fahey J.W., Wade K.L., Stephenson K.K., and Talalay P. Human metabolism and excretion of cancer chemopreventive glucosinolates and isothiocyanates of cruciferous vegetables. Cancer Epidemiol Biomarkers Prev 7 (1998) 1091-1100
32. Williams A.E., Maskarinec G., Hebshi S., Oshiro C., Murphy S., and Francke A.A. Validation of a soy questionnaire with repeated dietary recalls and urinary isoflavone assessments over one year. Nutr Cancer 47 (2003) 118-125
33. Grace P.B., Taylor J.I., Low Y.L., Luben R.N., Mulligan A.A., Botting N.P., et al. Phytoestrogen concentrations in serum and spot urine as biomarkers for dietary phytoestrogen intake and their relation to breast cancer risk in the European Prospective Investigation of Cancer and Nutrition-Norfolk. Cancer Epidemiol Biomarkers Prev 13 (2004) 698-708