Cargando…
The ability of different imputation methods for missing values in mental measurement questionnaires
BACKGROUND: Incomplete data are of particular important influence in mental measurement questionnaires. Most experts, however, mostly focus on clinical trials and cohort studies and generally pay less attention to this deficiency. We aim is to compare the accuracy of four common methods for handling...
Autores principales: | Xu, Xueying, Xia, Leizhen, Zhang, Qimeng, Wu, Shaoning, Wu, Mingcheng, Liu, Hongbo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045426/ https://www.ncbi.nlm.nih.gov/pubmed/32103723 http://dx.doi.org/10.1186/s12874-020-00932-0 |
Ejemplares similares
-
MiRNA Polymorphisms and Hepatocellular Carcinoma Susceptibility: A Systematic Review and Network Meta-Analysis
por: Zhang, Qimeng, et al.
Publicado: (2021) -
Shrinkage regression-based methods for microarray missing value imputation
por: Wang, Hsiuying, et al.
Publicado: (2013) -
Robust imputation method for missing values in microarray data
por: Yoon, Dankyu, et al.
Publicado: (2007) -
Missing value imputation for epistatic MAPs
por: Ryan, Colm, et al.
Publicado: (2010) -
MISSING VALUE IMPUTATION VIA GRAPH COMPLETION IN QUESTIONNAIRE SCORES FROM PERSONS WITH DEMENTIA
por: Kan, Chen, et al.
Publicado: (2019)