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Un marco de trabajo agnóstico al modelo para la selección específica de conjuntos de datos de métodos de imputación
Jörn Lötsch1,2,3, Alfred Ultsch4
1Institute of Clinical Pharmacology, Goethe - University, Frankfurt am Main, Germany.
Un nuevo marco selecciona sistemáticamente métodos de imputación de valores faltantes para datos biomédicos, especialmente en investigación del dolor. Utiliza datos faltantes artificiales para evaluar técnicas, encontrando que los métodos multivariados generalmente superan a los univariados.
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