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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Detalles Bibliográficos
Autores principales: Masconi, Katya L, Matsha, Tandi E, Echouffo-Tcheugui, Justin B, Erasmus, Rajiv T, Kengne, Andre P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380106/
https://www.ncbi.nlm.nih.gov/pubmed/25829972
http://dx.doi.org/10.1186/s13167-015-0028-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380106/
https://www.ncbi.nlm.nih.gov/pubmed/25829972
http://dx.doi.org/10.1186/s13167-015-0028-0

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