Inference following multiple imputation for generalized additive models: an investigation of the median p-value rule with applications to the Pulmonary Hypertension Association Registry and Colorado COVID-19 hospitalization data

BACKGROUND: Missing data prove troublesome in data analysis; at best they reduce a study’s statistical power and at worst they induce bias in parameter estimates. Multiple imputation via chained equations is a popular technique for dealing with missing data. However, techniques for combining and poo...

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Detalles Bibliográficos
Autores principales: Bolt, Matthew A., MaWhinney, Samantha, Pattee, Jack W., Erlandson, Kristine M., Badesch, David B., Peterson, Ryan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123297/
https://www.ncbi.nlm.nih.gov/pubmed/35597908
http://dx.doi.org/10.1186/s12874-022-01613-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123297/
https://www.ncbi.nlm.nih.gov/pubmed/35597908
http://dx.doi.org/10.1186/s12874-022-01613-w

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