Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa

Lignende værker

• Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa.
  af: Katya L Masconi, et al.
  Udgivet: (2015-01-01)
• Independent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa
  af: Masconi, Katya, et al.
  Udgivet: (2015)
• Effect of model updating strategies on the performance of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa
  af: Masconi, Katya L., et al.
  Udgivet: (2019)
• APOL1 genetic variants, chronic kidney diseases and hypertension in mixed ancestry South Africans
  af: Matsha, Tandi E, et al.
  Udgivet: (2015)
• Validation of two prediction models of undiagnosed chronic kidney disease in mixed-ancestry South Africans
  af: Mogueo, Amelie, et al.
  Udgivet: (2015)