Statistical inference for ordinal predictors in generalized additive models with application to Bronchopulmonary Dysplasia

OBJECTIVE: Discrete but ordered covariates are quite common in applied statistics, and some regularized fitting procedures have been proposed for proper handling of ordinal predictors in statistical models. Motivated by a study from neonatal medicine on Bronchopulmonary Dysplasia (BPD), we show how...

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Detalles Bibliográficos
Autores principales: Gertheiss, Jan, Scheipl, Fabian, Lauer, Tina, Ehrhardt, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939193/
https://www.ncbi.nlm.nih.gov/pubmed/35317852
http://dx.doi.org/10.1186/s13104-022-05995-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939193/
https://www.ncbi.nlm.nih.gov/pubmed/35317852
http://dx.doi.org/10.1186/s13104-022-05995-4

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