Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/64085
Title: Estrategias para el tratamiento de datos faltantes ("missing data") en estudios con datos longitudinales
Author: Calafati, Román Octavio
Tutor: Perez-Alvarez, Nuria  
Others: Universitat Oberta de Catalunya
Sánchez-Pla, Alex  
Abstract: In this paper, the missing data problem is studied and analysed: this is a returning problem in data bases and data sets from longitudinal studies, where methodical statistical analysis are to be performed. Furthermore, different mechanisms, arousing from this missing data problem, which result in different missing patterns, are evaluated and characterized. Also, several available methods in order to analyze these data, where absent data are present, are determined to define the goodness and limits of these methods. Finally, a data analysis is executed, in order to illustrate the application of these researched methods.
Keywords: missing data
longitudinal databases
missing data
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 21-Jun-2017
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
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