Cargando…
Ordinal regression increases statistical power to predict epilepsy surgical outcomes
Studies of epilepsy surgery outcomes are often small and thus underpowered to reach statistically valid conclusions. We hypothesized that ordinal logistic regression would have greater statistical power than binary logistic regression when analyzing epilepsy surgery outcomes. We reviewed 10 manuscri...
Autores principales: | Dickey, Adam S., Krafty, Robert T., Pedersen, Nigel P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159244/ https://www.ncbi.nlm.nih.gov/pubmed/35156772 http://dx.doi.org/10.1002/epi4.12585 |
Ejemplares similares
-
237 Studies of epilepsy surgery outcomes are statistically underpowered.
por: Dickey, Adam, et al.
Publicado: (2022) -
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
por: Montesinos-López, Osval A., et al.
Publicado: (2015) -
Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes
por: Li, Baoyue, et al.
Publicado: (2011) -
Sufficient Sample Size and Power in Multilevel Ordinal Logistic Regression Models
por: Ali, Sabz, et al.
Publicado: (2016) -
Innovativeness Analysis of Scholarly Publications by Age Prediction Using Ordinal Regression
por: Savov, Pavel, et al.
Publicado: (2020)