Cargando…
Risk estimation using probability machines
BACKGROUND: Logistic regression has been the de facto, and often the only, model used in the description and analysis of relationships between a binary outcome and observed features. It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effec...
Autores principales: | Dasgupta, Abhijit, Szymczak, Silke, Moore, Jason H, Bailey-Wilson, Joan E, Malley, James D |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015350/ https://www.ncbi.nlm.nih.gov/pubmed/24581306 http://dx.doi.org/10.1186/1756-0381-7-2 |
Ejemplares similares
-
r2VIM: A new variable selection method for random forests in genome-wide association studies
por: Szymczak, Silke, et al.
Publicado: (2016) -
Synthetic learning machines
por: Ishwaran, Hemant, et al.
Publicado: (2014) -
Detecting gene-gene interactions using a permutation-based random forest method
por: Li, Jing, et al.
Publicado: (2016) -
Use of attribute association error probability estimates to evaluate quality of medical record geocodes
por: Klaus, Christian A., et al.
Publicado: (2015) -
Estimating probabilities of peptide database identifications to LC-FTICR-MS observations
por: Anderson, Kevin K, et al.
Publicado: (2006)