Empirical Comparison of Imputation Methods for Multivariate Missing Data in Public Health

Sample estimates derived from data with missing values may be unreliable and may negatively impact the inferences that researchers make about the underlying population due to nonresponse bias. As a result, imputation is often preferred to listwise deletion in handling multivariate missing data. In t...

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Detalles Bibliográficos
Autores principales: Pan, Steven, Chen, Sixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864541/
https://www.ncbi.nlm.nih.gov/pubmed/36674279
http://dx.doi.org/10.3390/ijerph20021524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864541/
https://www.ncbi.nlm.nih.gov/pubmed/36674279
http://dx.doi.org/10.3390/ijerph20021524

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