Missing data in FFQs: making assumptions about item non-response
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Cattram Nguyen | Karen E Lamb | Dana Lee Olstad | Catherine Milte | Sarah A McNaughton | D. Olstad | S. McNaughton | K. Lamb | C. Milte | C. Nguyen
[1] Carol J Boushey,et al. The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance. , 2015, The Journal of nutrition.
[2] Victor Kipnis,et al. Dealing with dietary measurement error in nutritional cohort studies. , 2011, Journal of the National Cancer Institute.
[3] M. Kenward,et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls , 2009, BMJ : British Medical Journal.
[4] D. Rubin. Multiple imputation for nonresponse in surveys , 1989 .
[5] V. Burley,et al. Development, validation and utilisation of food-frequency questionnaires – a review , 2002, Public Health Nutrition.
[6] J. Schafer,et al. A comparison of inclusive and restrictive strategies in modern missing data procedures. , 2001, Psychological methods.
[7] Stephen R Cole,et al. Use of multiple imputation in the epidemiologic literature. , 2008, American journal of epidemiology.
[8] E. Forsum,et al. Strengthening the Reporting of Observational Studies in Epidemiology – nutritional epidemiology (STROBE‐nut): An extension of the STROBE statement† , 2016, Nutrition bulletin.
[9] W. L. Beeson,et al. Missing Data in a Long Food Frequency Questionnaire: Are Imputed Zeroes Correct? , 2009, Epidemiology.
[10] P. Laake,et al. 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) , 2008, Public Health Nutrition.
[11] Rosa Abellana Sangra,et al. The identification, impact and management of missing values and outlier data in nutritional epidemiology , 2015 .
[12] K. Ball,et al. Three-year change in diet quality and associated changes in BMI among schoolchildren living in socio-economically disadvantaged neighbourhoods , 2014, British Journal of Nutrition.
[13] P. Wallström,et al. What do review papers conclude about food and dietary patterns? , 2013, Food & nutrition research.
[14] J. Schafer,et al. Missing data: our view of the state of the art. , 2002, Psychological methods.
[15] D. Midthune,et al. Social desirability trait influences on self-reported dietary measures among diverse participants in a multicenter multiple risk factor trial. , 2008, The Journal of nutrition.
[16] S. Tretli,et al. Dietary fat and the risk of breast cancer: A prospective study of 25,892 Norwegian women , 1995, International journal of cancer.
[17] I. White,et al. A toolkit for measurement error correction, with a focus on nutritional epidemiology , 2014, Statistics in medicine.
[18] W. Willett,et al. Self-Administered Semiquantitative Food Frequency Questionnaires: Patterns, Predictors, and Interpretation of Omitted Items , 2009, Epidemiology.
[19] Gary Fraser,et al. Guided Multiple Imputation of Missing Data: Using a Subsample to Strengthen the Missing-at-Random Assumption , 2007, Epidemiology.
[20] Patrick Royston,et al. Multiple imputation using chained equations: Issues and guidance for practice , 2011, Statistics in medicine.
[21] S. Pocock,et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, The Lancet.
[22] I. White,et al. Multiple imputation of multiple multi-item scales when a full imputation model is infeasible , 2016, BMC Research Notes.
[23] Y. Ahn,et al. Item non-responses in mailed food frequency questionnaires in a Korean male cancer cohort study. , 2006, Asia Pacific journal of clinical nutrition.
[24] Mark Woodward,et al. Analysis of the Benefits of a Mediterranean Diet in the GISSI-Prevenzione Study: A Case Study in Imputation of Missing Values from Repeated Measurements , 2005, European Journal of Epidemiology.
[25] M. Orlich,et al. Vegetarian dietary patterns and mortality in Adventist Health Study 2. , 2013, JAMA internal medicine.
[26] T. Byers,et al. Effects of social approval bias on self-reported fruit and vegetable consumption: a randomized controlled trial , 2008, Nutrition Journal.
[27] E. Riboli,et al. Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort , 2002, Public Health Nutrition.
[28] P. van’t Veer,et al. Design characteristics of food frequency questionnaires in relation to their validity. , 2007, American journal of epidemiology.
[29] Raymond J Carroll,et al. Structure of dietary measurement error: results of the OPEN biomarker study. , 2003, American journal of epidemiology.
[30] J. Sabaté,et al. Vegetarian Dietary Patterns Are Associated With a Lower Risk of Metabolic Syndrome , 2011, Diabetes Care.
[31] M. Galanti,et al. Diet-Associated Risks of Disease and Self-Reported Food Consumption: How Shall We Treat Partial Nonresponse in a Food Frequency Questionnaire? , 2000, Nutrition and cancer.
[32] V. Burley,et al. Food-frequency questionnaires: a review of their design, validation and utilisation , 2004, Nutrition Research Reviews.
[33] Laurence S Freedman,et al. Addressing Current Criticism Regarding the Value of Self-Report Dietary Data. , 2015, The Journal of nutrition.