Cargando…
Are your covariates under control? How normalization can re-introduce covariate effects
Many statistical tests rely on the assumption that the residuals of a model are normally distributed. Rank-based inverse normal transformation (INT) of the dependent variable is one of the most popular approaches to satisfy the normality assumption. When covariates are included in the analysis, a co...
Autores principales: | Pain, Oliver, Dudbridge, Frank, Ronald, Angelica |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057994/ https://www.ncbi.nlm.nih.gov/pubmed/29706643 http://dx.doi.org/10.1038/s41431-018-0159-6 |
Ejemplares similares
-
Network meta‐analysis including treatment by covariate interactions: Consistency can vary across covariate values
por: Donegan, Sarah, et al.
Publicado: (2017) -
The Covariate's Dilemma
por: Mefford, Joel, et al.
Publicado: (2012) -
Assessment of gene-covariate interactions by incorporating covariates into association mapping
por: Chiu, Yen-Feng, et al.
Publicado: (2009) -
The Influence of Normalization Weight in Population Pharmacokinetic Covariate Models
por: Goulooze, Sebastiaan C., et al.
Publicado: (2018) -
Covariance shrinkage can assess and improve functional connectomes
por: Honnorat, Nicolas, et al.
Publicado: (2022)