Willett, W (2013) Nutritional Epidemiology, 3rd ed. Oxford: Oxford University Press.
Subar, AF, Freedman, LS, Tooze, JA
et al. (2015) Addressing current criticism regarding the value of self-report dietary data. J Nutr
Molag, ML, de Vries, JHM, Ocke, MC
et al. (2007) Design characteristics of food frequency questionnaires in relation to their validity. Am J Epidemiol
Cade, JE, Burley, VJ, Warm, DL
et al. (2004) Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev
Abellana Sangra, R & Farran Codina, A (2015) The identification, impact and management of missing values and outlier data in nutritional epidemiology. Nutr Hosp
31, Suppl. 3, 189–195.
Wirfalt, E, Drake, I & Wallstrom, P (2013) What do review papers conclude about food and dietary patterns?
Food Nutr Res
Liese, AD, Krebs-Smith, SM, Subar, AF
et al. (2015) The dietary patterns methods project: synthesis of findings across cohorts and relevance to dietary guidance. J Nutr
Hansson, LM & Galanti, MR (2000) Diet-associated risks of disease and self-reported food consumption: how shall we treat partial nonresponse in a food frequency questionnaire?
Parr, CL, Hjartaker, A, Scheel, I
et al. (2008) Comparing methods for handling missing values in food-frequency questionnaires and proposing k nearest neighbours imputation: effects on dietary intake in the Norwegian Women and Cancer study (NOWAC). Public Health Nutr
Cade, J, Thompson, R, Burley, V
et al. (2002) Development, validation and utilisation of food-frequency questionnaires – a review. Public Health Nutr
Johansson, I, Hallmans, G, Wikman, A
et al. (2002) Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort. Public Health Nutr
Lioret, S, McNaughton, SA, Cameron, AJ
et al. (2014) Three-year change in diet quality and associated changes in BMI among schoolchildren living in socio-economically disadvantaged neighbourhoods. Br J Nutr
Gaard, M, Tretli, S & Loken, EB (1995) Dietary fat and the risk of breast cancer: a prospective study of 25,892 Norwegian women. Int J Cancer
Barzi, F, Woodward, M, Marfisi, RM
et al. (2006) Analysis of the benefits of a Mediterranean diet in the GISSI-Prevenzione study: a case study in imputation of missing values from repeated measurements. Eur J Epidemiol
Schafer, JL & Graham, JW (2002) Missing data: our view of the state of the art. Psychol Methods
Ware, JH, Harrington, D, Hunter, DJ
et al. (2012) Missing data. N Engl J Med
Klebanoff, MA & Cole, SR (2008) Use of multiple imputation in the epidemiologic literature. Am J Epidemiol
Rubin, DB (1987) Multiple Imputation for Non-Response in Surveys. Hoboken, NJ: John Wiley & Sons, Inc.
Orlich, MJ, Singh, PN, Sabate, J
et al. (2013) Vegetarian dietary patterns and mortality in Adventist Health Study 2. JAMA Intern Med
Rizzo, NS, Sabate, J, Jaceldo-Siegl, K
et al. (2011) Vegetarian dietary patterns are associated with a lower risk of metabolic syndrome: the Adventist Health Study 2. Diabetes Care
Collins, LM, Schafer, JL & Kam, CM (2001) A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychol Methods
White, IR, Royston, P & Wood, AM (2011) Multiple imputation using chained equations: issues and guidance for practice. Stat Med
Plumpton, CO, Morris, T, Hughes, DA
et al. (2016) Multiple imputation of multiple multi-item scales when a full imputation model is infeasible. BMC Res Notes
Sterne, JAC, White, IR, Carlin, JB
et al. (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ
Hebert, JR, Hurley, TG, Peterson, KE
et al. (2008) Social desirability trait influences on self-reported dietary measures among diverse participants in a multicenter multiple risk factor trial. J Nutr
138, issue 1, 226S–234S.
Miller, TM, Abdel-Maksoud, MF, Crane, LA
et al. (2008) Effects of social approval bias on self-reported fruit and vegetable consumption: a randomized controlled trial. Nutr J
Fraser, G & Ru, Y (2007) Guided multiple imputation of missing data – using a subsample to strengthen the missing-at-random assumption. Epidemiology
Michels, KB & Willett, WC (2009) Self-administered semiquantitative food frequency questionnaires patterns, predictors, and interpretation of omitted items. Epidemiology
Ahn, Y, Paik, HY & Ahn, YO (2006) Item non-responses in mailed food frequency questionnaires in a Korean male cancer cohort study. Asia Pac J Clin Nutr
Fraser, GE, Yan, R, Butler, TL
et al. (2009) Missing data in a long food frequency questionnaire: are imputed zeroes correct?
Kipnis, V, Subar, AF, Midthune, D
et al. (2003) Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol
Keogh, RH & White, IR (2014) A toolkit for measurement error correction, with a focus on nutritional epidemiology. Stat Med
Freedman, LS, Schatzkin, A, Midthune, D
et al. (2011) Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst
STROBE Statement: Strengthening the reporting of observational studies in epidemiology (2016) Home page. http://www.strobe-statement.org/ (accessed April 2016).