| Titre : | The impact of handling missing data on alcohol consumption estimates in the UK women cohort study. (2009) |
| Auteurs : | NUR (U.) : GBR. Cancer Research Uk Cancer Survival Group. Non-Communicable Disease Epidemiology Unit. London School of Hygiene and Tropical Medicine. Keppel St. London WCIE. ; J.E. CADE ; D.C. GREENWOOD ; LONGFORD (N.T.) : ESP. Departament d'Economia i Empresa. Universitat Pompeu Fabra. Barcelona. ; Centre for Epidemiology and Biostatistics. University of Leeds. Leeds. GBR |
| Type de document : | Article |
| Dans : | European journal of epidemiology (vol. 24, n° 10, 2009) |
| Pagination : | 589-595 |
| Langues: | Anglais |
| Mots-clés : | Manutention ; Boisson alcoolisée ; Consommation alcool ; Consommation ; Estimation ; Femme ; Homme ; Alcool ; Analyse donnée ; Aliment ; Fréquence ; Epidémiologie ; Europe |
| Résumé : | [BDSP. Notice produite par INIST-CNRS lo998R0x. Diffusion soumise à autorisation]. We discuss methods for dealing with incomplete-data in the United Kingdom Women's Cohort Study. We demonstrate by example how important it is to address the issues related to missing data with statistical integrity, illustrate the deficiencies of a data-reduction and a single-imputation method, and discuss how the method of multiple imputation overcomes them. Although the method entails some complexity, the computational activities can be organized in such a way that efficient analyses can be conducted by analysts who are not acquainted with all the details of the imputation method and who wish to rely on software they use and regard as standard. |
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