How handling missing data may impact conclusions: A comparison of six different imputation methods for categorical questionnaire data

OBJECTIVES: Missing data is a recurrent issue in many fields of medical research, particularly in questionnaires. The aim of this article is to describe and compare six conceptually different multiple imputation methods, alongside the commonly used complete case analysis, and to explore whether the...

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Detalles Bibliográficos
Autores principales: Stavseth, Marianne Riksheim, Clausen, Thomas, Røislien, Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329020/
https://www.ncbi.nlm.nih.gov/pubmed/30671242
http://dx.doi.org/10.1177/2050312118822912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329020/
https://www.ncbi.nlm.nih.gov/pubmed/30671242
http://dx.doi.org/10.1177/2050312118822912

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