Nur, UA, Longford, NT, Cade, JE orcid.org/0000-0003-3421-0121 et al. (1 more author) (2005) Dealing with incomplete data in questionnaires of food and alcohol consumption. Statistics in Transition, 7 (1). pp. 111-134. ISSN 1234-7655
Abstract
Missing data feature in most large-scale surveys of human populations, especially when extensive questionnaires are administered. We describe the established single-imputation procedures and explore multiple-imputation procedures for the missing values in the blocks of questions related to alcohol consumption in the UK Women’s Cohort Study. We demonstrate how multiple imputation can be developed by adapting the established single-imputation procedures, ridding them of some of their weaknesses.
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Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This journal provides immediate open access to its content under the Creative Commons CC BY-NC-ND 4.0 license on the principle that making research freely available to the public supports a greater global exchange of knowledge. Under the CC BY-NC-ND 4.0 license users are free to share the work (copy and redistribute the material in any medium or format), if the contribution is properly attributed and used for non-commercial purposes. The material published in the journal may not be altered or build upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Complete-data analysis; food frequency questionnaire; incomplete data; missing information; multiple imputation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Aug 2019 12:31 |
Last Modified: | 29 Aug 2019 12:31 |
Published Version: | https://www.exeley.com/journal/statistics_in_trans... |
Status: | Published |
Publisher: | Polish Statistical Association |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138296 |
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