Cargando…
The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputation
BACKGROUND: Multiple imputation is frequently used to address missing data when conducting statistical analyses. There is a paucity of research into the performance of multiple imputation when the prevalence of missing data is very high. Our objective was to assess the performance of multiple imputa...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290209/ https://www.ncbi.nlm.nih.gov/pubmed/35850734 http://dx.doi.org/10.1186/s12874-022-01671-0 |