Handling Missing Data in the Short Form–12 Health Survey (SF-12): Concordance of Real Patient Data and Data Estimated by Missing Data Imputation Procedures

If information on single items in the Short Form–12 health survey (SF-12) is missing, the analysis of only complete cases causes a loss of statistical power and, in case of nonrandom missing data (MD), systematic bias. This study aimed at evaluating the concordance of real patient data and data esti...

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Detalles Bibliográficos
Autores principales: Wirtz, Markus A., Röttele, Nicole, Morfeld, Matthias, Brähler, Elmar, Glaesmer, Heide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450993/
https://www.ncbi.nlm.nih.gov/pubmed/32864983
http://dx.doi.org/10.1177/1073191120952886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450993/
https://www.ncbi.nlm.nih.gov/pubmed/32864983
http://dx.doi.org/10.1177/1073191120952886

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