Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review

@article{Masconi2015ReportingAH,
  title={Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review},
  author={Katya L. Masconi and T. Matsha and J. Echouffo-Tcheugui and R. Erasmus and A. Kengne},
  journal={The EPMA Journal},
  year={2015},
  volume={6}
}
  • Katya L. Masconi, T. Matsha, +2 authors A. Kengne
  • Published 2015
  • Medicine
  • The EPMA Journal
  • Missing values are common in health research and omitting participants with missing data often leads to loss of statistical power, biased estimates and, consequently, inaccurate inferences. We critically reviewed the challenges posed by missing data in medical research and approaches to address them. To achieve this more efficiently, these issues were analyzed and illustrated through a systematic review on the reporting of missing data and imputation methods (prediction of missing values… CONTINUE READING
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