Cargando…
Considerations for Using Multiple Imputation in Propensity Score-Weighted Analysis – A Tutorial with Applied Example
PURPOSE: Propensity score-weighting for confounder control and multiple imputation to counter missing data are both widely used methods in epidemiological research. Combination of the two is not trivial and requires a number of decisions to produce valid inference. In this tutorial, we outline the a...
Autores principales: | Eiset, Andreas Halgreen, Frydenberg, Morten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272848/ https://www.ncbi.nlm.nih.gov/pubmed/35832574 http://dx.doi.org/10.2147/CLEP.S354733 |
Ejemplares similares
-
Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes
por: Biering, Karin, et al.
Publicado: (2015) -
Combining Multiple Imputation and Inverse-Probability
Weighting
por: Seaman, Shaun R, et al.
Publicado: (2012) -
The association between long-distance migration and PTSD prevalence in Syrian refugees
por: Eiset, Andreas Halgreen, et al.
Publicado: (2022) -
Review of infectious diseases in refugees and asylum seekers—current status and going forward
por: Eiset, Andreas Halgreen, et al.
Publicado: (2017) -
Avoiding pitfalls when combining multiple imputation and propensity scores
por: Granger, Emily, et al.
Publicado: (2019)