Cargando…
Comparison of variable selection procedures and investigation of the role of shrinkage in linear regression-protocol of a simulation study in low-dimensional data
In low-dimensional data and within the framework of a classical linear regression model, we intend to compare variable selection methods and investigate the role of shrinkage of regression estimates in a simulation study. Our primary aim is to build descriptive models that capture the data structure...
Autores principales: | Kipruto, Edwin, Sauerbrei, Willi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529280/ https://www.ncbi.nlm.nih.gov/pubmed/36191290 http://dx.doi.org/10.1371/journal.pone.0271240 |
Ejemplares similares
-
Effects of influential points and sample size on the selection and replicability of multivariable fractional polynomial models
por: Sauerbrei, Willi, et al.
Publicado: (2023) -
Investigation of continuous effect modifiers in a meta-analysis on higher versus lower PEEP in patients requiring mechanical ventilation - protocol of the ICEM study
por: Kasenda, Benjamin, et al.
Publicado: (2014) -
Multivariable model-building: a pragmatic approach to regression anaylsis based on fractional polynomials for modelling continuous variables
por: Royston, Patrick, et al.
Publicado: (2008) -
Regression shrinkage and selection via least quantile shrinkage and selection operator
por: Daneshvar, Alireza, et al.
Publicado: (2023) -
Procedural specificity in laparoscopic simulator training: protocol for a randomised educational superiority trial
por: Bjerrum, Flemming, et al.
Publicado: (2014)