The impact of handling missing data on alcohol consumption estimates in the UK women cohort study
| Autor: | Janet E Cade, Darren C. Greenwood, Ula Nur, Nicholas T. Longford |
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| Rok vydání: | 2009 |
| Předmět: |
Research design
Models Statistical Data collection Alcohol Drinking Epidemiology business.industry MEDLINE Data interpretation Missing data Data science United Kingdom Cohort Studies Bias Research Design Data Interpretation Statistical Humans Medicine Female Imputation (statistics) business Alcohol consumption Cohort study |
| Zdroj: | European Journal of Epidemiology. 24:589-595 |
| ISSN: | 1573-7284 0393-2990 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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