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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.

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 suggested that simple methods for filling missing data can be just as accurate as complex methods...

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Autori principali: Katya L Masconi, Tandi E Matsha, Rajiv T Erasmus, Andre P Kengne
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science (PLoS) 2015-01-01
Serie:PLoS ONE
Accesso online:http://europepmc.org/articles/PMC4583496?pdf=render
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