1Schatzkin, A, Subar, AF, Thompson, FE, Harlan, LC, Tangrea, J, Hollenbeck, AR, et al. . Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health–American Association of Retired Persons Diet and Health Study. American Journal of Epidemiology 2001; 154: 1119–1125.
2Plummer, M, Clayton, D. Measurement error in dietary assessment: an investigation using covariance structure models. Part I. Statistics in Medicine 1993; 12: 925–935.
3Plummer, M, Clayton, D. Measurement error in dietary assessment: an investigation using covariance structure models. Part II. Statistics in Medicine 1993; 12: 937–948.
4Freudenheim, JL, Marshall, JR. The problem of profound mismeasurement and the power of epidemiologic studies of diet and cancer. Nutrition and Cancer 1988; 11: 243–250.
5Freedman, LS, Schatzkin, A, Wax, Y. The impact of dietary measurement on planning sample size required in a cohort study. American Journal of Epidemiology 1990; 132: 1185–1195.
7 US National Cancer Institute, Division of Cancer Control and Population Sciences. Risk Factor Monitoring and Methods, Diet History Questionnaire [online], 8 February 2007. Available at http://riskfactor.cancer.gov/DHQ/. Accessed June 2007.
8Subar, AF, Midthune, D, Kulldorff, M, Brown, CC, Thompson, FE, Kipnis, V, et al. . Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires. American Journal of Epidemiology 2000; 152: 279–286.
9Walker, AM, Blettner, M. Comparing imperfect measures of exposure. American Journal of Epidemiology 1985; 121: 783–790.
10Kipnis, V, Midthune, D, Freedman, LS, Bingham, S, Schatzkin, A, Subar, A, et al. . Empirical evidence of correlated biases in dietary assessment instruments and its implications. American Journal of Epidemiology 2001; 153: 394–403.
11Rosner, B, Willett, WC. Interval estimates for correlation coefficients corrected for within-person variation: implications for study design and hypothesis testing. American Journal of Epidemiology 1988; 127: 377–386.
12Rosner, B, Willett, WC, Spiegelman, D. Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Statistics in Medicine 1989; 8: 1051–1069.
13Spiegelman, D, Schneeweiss, S, McDermott, A. Measurement error correction for logistic regression models with an ‘alloyed gold standard’. American Journal of Epidemiology 1997; 145: 184–196.
14Wong, MY, Day, NE, Bashir, SA, Duffy, SW. Measurement error in epidemiology: the design of validation studies I: univariate situation. Statistics in Medicine 1999; 18: 2815–2829.
15Wong, MY, Day, NE, Wareham, NJ. Measurement error in epidemiology: the design of validation studies II: bivariate situation. Statistics in Medicine 1999; 18: 2831–2845.
16Box, G, Cox, D. An analysis of transformations. Journal of the Royal Statistical Society 1964; B26: 211–252.
17Willett, WC. Nutritional Epidemiology, 2nd ed. New York: Oxford University Press, 1998.
18Carroll, RJ, Midthune, D, Freedman, LS, Kipnis, V. Seemingly unrelated measurement error models with application to nutritional epidemiology. Biometrics 2006; 62: 75–84.
19SAS Institute, Inc. SAS/STAT User’s Guide. Cary, NC: SAS Institute, Inc., 2000.
20Carroll, RJ, Freedman, L, Pee, D. Design aspects of calibration studies in nutrition, with analysis of missing data in linear measurement error models. Biometrics 1997; 53: 1440–1457.
21Subar, AF, Thompson, FE, Kipnis, V, Midthune, D, Hurwitz, P, McNutt, S, et al. . Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America’s Table Study. American Journal of Epidemiology 2001; 154: 1089–1099.
22Subar, AF, Kipnis, V, Troiano, RP, Midthune, D, Schoeller, DA, Bingham, S, et al. . Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN Study. American Journal of Epidemiology 2003; 158: 1–13.
23Kipnis, V, Subar, AF, Midthune, D, Freedman, LS, Ballard-Barbash, R, Troiano, RP, et al. . Structure of dietary measurement error: results of the OPEN Biomarker Study. American Journal of Epidemiology 2003; 158: 14–21.
24Munger, RG, Folsom, AR, Kushi, LH, Kaye, SA, Sellers, TA. Dietary assessment of older Iowa women with a food frequency questionnaire: nutrient intake, reproducibility, and comparison with 24-hour dietary recall interviews. American Journal of Epidemiology 1992; 136: 192–200.
25Stram, DO, Hankin, JH, Wilkens, LR, Pike, MC, Monroe, KR, Park, S, et al. . Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles. American Journal of Epidemiology 2000; 151: 358–370.
26Flagg, EW, Coates, RJ, Calle, EE, Potischman, N, Thun, MJ. Validation of the American Cancer Society Cancer Prevention Study II Nutrition Survey Cohort Food Frequency Questionnaire. Epidemiology 2000; 11: 462–468.
27Rimm, EB, Giovannucci, EL, Stampfer, MJ, Colditz, GA, Litin, LB, Willett, WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. American Journal of Epidemiology 1992; 135: 1114–1126.
28Patterson, RE, Kristal, AR, Tinker, LF, Carter, RA, Bolton, MP, Agurs-Collins, T. Measurement characteristics of the Women’s Health Initiative food frequency questionnaire. Annals of Epidemiology 1999; 9: 178–187.
29Plummer, M, Kaaks, R. Commentary: An OPEN assessment of dietary measurement error. International Journal of Epidemiology 2003; 32: 1062–1063.
30Kipnis, V, Midthune, D, Freedman, L, Bingham, S, Day, NE, Riboli, E, et al. . Bias in dietary-report instruments and its implications for nutritional epidemiology. Public Health Nutrition 2002; 5: 915–923.
31Willett, W, Stampfer, MJ. Total energy intake: implications for epidemiologic analyses. American Journal of Epidemiology 1986; 124: 17–27.
32Willett, W. Dietary diaries versus food frequency questionnaires – a case of undigestible data. International Journal of Epidemiology 2001; 30: 317–319.
33Shapiro, SS, Wilk, MB. An analysis of variance test for normality (complete samples). Biometrika 1965; 52: 591–611.
34Shapiro, SS, Francia, RS. An approximate analysis of variance test for normality. Journal of the American Statistical Association 1972; 67: 215–216.