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

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...

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Détails bibliographiques
Publié dans:EPMA J
Auteurs principaux: Masconi, Katya L, Matsha, Tandi E, Echouffo-Tcheugui, Justin B, Erasmus, Rajiv T, Kengne, Andre P
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2015
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4380106/
https://ncbi.nlm.nih.gov/pubmed/25829972
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13167-015-0028-0
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