Comparison of imputation methods for missing laboratory data in medicine

OBJECTIVES: Missing laboratory data is a common issue, but the optimal method of imputation of missing values has not been determined. The aims of our study were to compare the accuracy of four imputation methods for missing completely at random laboratory data and to compare the effect of the imput...

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Detalles Bibliográficos
Autores principales: Waljee, Akbar K, Mukherjee, Ashin, Singal, Amit G, Zhang, Yiwei, Warren, Jeffrey, Balis, Ulysses, Marrero, Jorge, Zhu, Ji, Higgins, Peter DR
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Gastroenterology and Hepatology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733317/
https://www.ncbi.nlm.nih.gov/pubmed/23906948
http://dx.doi.org/10.1136/bmjopen-2013-002847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733317/
https://www.ncbi.nlm.nih.gov/pubmed/23906948
http://dx.doi.org/10.1136/bmjopen-2013-002847

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