Correction for the Effects of Measurement Error

Nutritional Epidemiology

Volumn , Issue , 2013, Pages

  Willett, Walter ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Correlation coefficients; Epidemiologic studies; Error correction; Measurement errors; Regression coefficients; Relative risks

Indexed keywords

EID: 84908554940     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780199754038.003.0012     Document Type: Chapter

References (46)

1. Armstrong, B. (1985). Measurement error in the generalized linear model. Commun Statist Simula Computa 14:529-544.
2. Barron, B. A. (1977). The effects of misclassification on the estimation of relative risk. Biometrics 33:414-418.
3. Beaton, G. H., J. Milner, P. Corey, et al. (1979). Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr 32:2546-2549.
4. Beaton, G. H. (1994). Approaches to analysis of dietary data-relationship between planned analyses and choice of methodology. Am J Clin Nutr 59(suppl):S253-S261.
5. Bross, I. D. (1954). Misclassification in 2 x 2 tables. Biometrics 10:478-486.
6. Byar, D. P., and M. H. Gail. (1989). Errors-in-variables workshop. Statist Med 8:1027-1029.
7. Carroll, R. J., C. H. Spiegelman, K. K. Gordon, et al. (1984). On errors in variables for binary regression models. Biometrika 71:19-25.
8. Carroll, R. J., and M. P. Wand. (1991). Semiparametric estimation in logistic measurement error models. J R Statist Soc B 53:573-585.
9. Carroll, R. J., D. Ruppert, and L. A. Stefanski. (1995). Measurement Error in Nonlinear Models. Monographs on Statistics and Applied Probability. London: Chapman & Hall.
10. Chen, T. T. (1989). A review of methods for misclassified categorical data in epidemiology. Statist Med 8:1095-1106.
11. Clayton, D. G. (1992). "Models for the analysis of cohort and case-control studies with inaccurately measured exposures," in Statistical Models for Longitudinal Studies of Health. Edited by J. H. Dwyer, M. Feinlieb, P. Lipsert, and et al., pp. 301-331. New York, NY: Oxford Press.
12. Diamond, E. L., and A. M. Lilienfeld. (1962). Effects of errors in classification and diagnosis in various types of epidemiological studies. Am J Public Health 52:1137-1144.
13. Espeland, M. A., and S. L. Hui. (1987). A general approach to analyzing epidemiologic data that contain misclassification errors. Biometrics 43:1001-1012.
14. Greenland, S. (1980). The effect of misclassification in the presence of covariates. Am J Epidemiol 112:564-569.
15. Greenland, S. (1988). Variance estimation for epidemiologic effect estimates under misclassification. Statist Med 7:745-757.
16. Guolo, A. (2008). Robust techniques for measurement error correction: a review. Stat Methods Med Res 17:555-580.
17. Kaldor, J., and D. Clayton. (1985). Latent class analysis in chronic disease epidemiology. Statist Med 4:327-335.
18. Kleinbaum, D. G., L. L. Kupper, and H. Morganstern. (1982). Epidemiologic research: Principles and Quantitative Methods. Belmont, CA: Lifetime Learning Publications.
19. Kupper, L. L. (1984). Effects of the use of unreliable surrogate variables on the validity of epidemiologic research studies. Am J Epidemiol 120:643-648.
20. Liu, K., J. Stamler, A. Dyer, et al. (1978). Statistical methods to assess and minimize the role of intra-individual variability in obscuring the relationship between dietary lipids and serum cholesterol. J Chron Dis 31:399-418.
21. Madansky, A. (1959). The fitting of straight lines when both variables are subject to error. J Am Stat Assoc 54:173-205.
22. Mattson, F. H., B. A. Erickson, and A. M. Kligman. (1972). Effect of dietary cholesterol on serum cholesterol in man. Am J Clin Nutr 25:589-594.
23. Nusser, S. M., A. L. Carriquiry, K. W. Dodd, et al. (1996). A semiparametric transformation approach to estimating usual daily intake distributions. J Am Statist Assoc 91:1440-1449.
24. Nusser, S. M., W. A. Fuller, and P. M. Guenther. (1996). "Estimation of usual dietary intake distributions: adjusting for measurement error and nonnormality in 24-hour food intake data.," in Survey Measurement and Process Quality. Edited by D. Trewin, pp. 689-709. New York, NY: Wiley.
25. Perisic, I., and B. Rosner. (1999). Comparisons of measures of interclass correlations: the general case of unequal group size. Stat Med 18:1451-1466.
26. Preis, S. R., D. Spiegelman, B. B. Zhao, et al. (2011). Application of a repeat-measure biomarker measurement error model to 2 validation studies: examination of the effect of within-person variation in biomarker measurements. Am J Epidemiol 173:683-694.
27. Prentice R. L., P. A. Shaw, S. A. Bingham, et al. (2009). Biomarker-calibrated energy and protein consumption and increased cancer risk among postmenopausal women. Am J Epidemiol 169:977-989.
28. Qiu, W., and B. Rosner. (2010). Measurement error correction for the cumulative average model in the survival analysis of nutritional data: application to Nurses' Health Study. Lifetime Data Anal 16:136-153.
29. Riggs, D. S., J. A. Guarnieri, and S. Addelman. (1978). Fitting straight lines when both variables are subject to error. Life Sci 22:1305-1360.
30. Rosner, B., and W. C. Willett. (1988). Interval estimates for correlation coefficients corrected for within-person variation: implications for study design and hypothesis testing. Am J Epidemiol 127:377-386.
31. Rosner, B., W. C. Willett, and D. Spiegelman. (1989). Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Stat Med 8:1051-1069.
32. Rosner, B., D. Spiegelman, and W. C. Willett. (1990). Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error. Am J Epidemiol 132:734-745.
33. Rosner, B., D. Spiegelman, and W. C. Willett. (1992). Correction of logistic regression relative risk estimates and confidence intervals for random within-person measurement error. Am J Epidemiol 136:1400-1413.
34. Rosner, B., and R. Glynn. (2007). Interval estimation for rank correlation coefficients based on the probit transformation with extension to measurement error correction of correlated data. Stat Med 26:633-646.
35. Snedecor, W. G. (1968). Error in measurement in statistics. Technometrics 10:637-666.
36. Spiegelman, D., A. McDermott, and B. Rosner. (1997). Regression calibration method for correcting measurement-error bias in nutritional epidemiology. Am J Clin Nutr 65(suppl):1179S-1186S.
37. Spiegelman, D., S. Schneeweiss, and A. McDermott. (1997). Am J Epidemiol 145:184-196.
38. Spiegelman, D., B. Zhao, and J. Kim. (2005). Stat Med 24: 1657-1682.
39. Stefanski, L. A., and R. J. Carroll. (1985). Covariate measurement error in logistic regression. Ann Statist 13:1335-1351.
40. Thurigen, D., D. Spiegelman, M. Blettner, et al. (2000). Measurement error correction using validation data: a review of methods and their applicability in case-control studies. Stat Methods Med Res 9:447-474.
41. Tukey, J. W. (1951). Components in regression. Biometrics 7:33-69.
42. Walker, A. M., and M. Blettner. (1985). Comparing imperfect measures of exposure. Am J Epidemiol 121:783-790.
43. Willett, W. C., L. Sampson, M. J. Stampfer, et al. (1985). Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 122:51-65.
44. Willett, W. C., M. J. Stampfer, G. A. Colditz, et al. (1987). Dietary fat and the risk of breast cancer. N Engl J Med 316:22-28.
45. Willett, W. C., D. J. Hunter, M. J. Stampfer, et al. (1992). Dietary fat and fiber in relation to risk of breast cancer: An 8-year follow-up. J Am Med Assoc 268:2037-2044.
46. Zeger, S. L., F. Dominici, A. McDermott, et al. (2008). Mortality in the Medicare population and chronic exposure to fine particulate air pollution in urban centers (2000-2005). Environ Health Perspect 116:1614-1619.