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Correction for model selection bias using a modified model averaging approach for supervised learning methods applied to EEG experiments.
- Source :
-
Journal of biopharmaceutical statistics [J Biopharm Stat] 2010 Jul; Vol. 20 (4), pp. 768-86. - Publication Year :
- 2010
-
Abstract
- This paper proposes a modified model averaging approach for linear discriminant analysis. This approach is used in combination with a doubly hierarchical supervised learning analysis and applied to preclinical pharmaco-electroencephalographical data for classification of psychotropic drugs. Classification of a test dataset was highly improved with this method.
- Subjects :
- Algorithms
Animals
Discriminant Analysis
Likelihood Functions
Linear Models
Psychotropic Drugs classification
Rats
Regression Analysis
Selection Bias
Sleep Stages drug effects
Wakefulness drug effects
Artificial Intelligence
Drug Evaluation, Preclinical methods
Electroencephalography drug effects
Models, Statistical
Psychotropic Drugs pharmacology
Subjects
Details
- Language :
- English
- ISSN :
- 1520-5711
- Volume :
- 20
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of biopharmaceutical statistics
- Publication Type :
- Academic Journal
- Accession number :
- 20496205
- Full Text :
- https://doi.org/10.1080/10543401003618744