Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| 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 |