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    Effects of different missing data imputation techniques on the performance of undiagnosed diabetes risk prediction models in a mixed-ancestry population of South Africa 

    Masconi, Katya L.; Matsha, Tandi E.; Erasmus, Rajiv T.; Kengne, Andre P. (Public Library of Science, 2016)
    Background: Imputation techniques used to handle missing data are based on the principle of replacement. It is widely advocated that multiple imputation is superior to other imputation methods, however studies have ...

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    Author
    Erasmus, Rajiv T. (1)
    Kengne, Andre P. (1)Masconi, Katya L. (1)Matsha, Tandi E. (1)Subject
    Diabetes -- Prediction models (1)
    Diabetes -- Racially mixed people (1)
    Diabetes -- Risk factors (1)
    Diabetes -- South Africa -- Western Cape (1)
    ... View MoreDate Issued2016 (1)Has File(s)
    Yes (1)
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