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

@inproceedings{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 Tandi E Matsha and Justin B Echouffo-Tcheugui and Rajiv Timothy Erasmus and Andre Pascal Kengne},
  booktitle={EPMA Journal},
  year={2015}
}
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
BETA
Tweets
This paper has been referenced on Twitter 1 time. VIEW TWEETS

References

Publications referenced by this paper.
SHOWING 1-10 OF 93 REFERENCES

Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study

  • NR Bindraban, IGM van Valkengoed, G Mairuhu, F Holleman, JBL Hoekstra, BPJ Michels
  • BMC Public Health
  • 2008
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…