Treffer: Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures
Title:
Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures
Authors:
Source:
Quality & quantity. 47(4):1991-2008
Publisher Information:
Dordrecht: Springer, 2013.
Publication Year:
2013
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Sociology, Sociologie, Methods and statistics, Méthodes et statistiques, Sociologie, Sociology, Histoire, théorie et méthodologie, History, theory and methodology, Méthodologie, Methodology, Analyse des données, Data Analysis, Analyse multivariée, Multivariate Analysis, Analyse par cohortes, Cohort Analysis, Méthodologie, Methodology, Non réponse, Nonresponse, 1970 British Birth Cohort, Classification tree, Missing data, Sequential imputation
Subject Geographic:
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Department of Statistics, University of Milano-Bicocca, Milan, Italy
Division of Social Statistics, Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, United Kingdom
Division of Social Statistics, Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, United Kingdom
ISSN:
0033-5177
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sociology
FRANCIS
FRANCIS
Accession Number:
edscal.27746690
Database:
PASCAL Archive
Weitere Informationen
Item nonresponse in survey data can pose significant problems for social scientists carrying out statistical modeling using a large number of explanatory variables. A number of imputation methods exist but many only deal with univariate imputation, or relatively simple cases of multivariate imputation, often assuming a monotone pattern of missingness. In this paper we evaluate a tree-based approach for multivariate imputation using real data from the 1970 British Cohort Study, known for its complex pattern of nonresponse. The performance of this tree-based approach is compared to mode imputation and a sequential regression based approach within a simulation study.