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- 1. A multivariate technique for multiply imputing missing values using a sequence of regression models ArchivedArticles and reports: 12-001-X20010015857Description:
This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.
Release date: 2001-08-22 - Journals and periodicals: 81-589-XDescription:
The report Children and youth at risk documents the proceedings of a symposium held in Ottawa on April 6 and 7, 2000 to explore research and policy issues concerning the education of children who, for whatever reason, are at risk of not meeting the normal expectations of the education system.
It includes summaries of presentations, discussions and commissioned research papers. The themes and issues are summarized in a synthesis written by Dr. Robert Crocker of the faculty of education at Memorial University of Newfoundland.
The symposium was held as an activity of the Pan-Canadian Education Research Agenda. The Canadian Education Statistics Council - a partnership between Statistics Canada and the Council of Ministers of Education, Canada - started this research program with a view to promoting research on policy issues in education of concern to researchers, policy-makers and practitioners. Human Resources Development Canada provided financial support for the symposium.
Release date: 2001-05-22
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- 1. A multivariate technique for multiply imputing missing values using a sequence of regression models ArchivedArticles and reports: 12-001-X20010015857Description:
This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.
Release date: 2001-08-22 - Journals and periodicals: 81-589-XDescription:
The report Children and youth at risk documents the proceedings of a symposium held in Ottawa on April 6 and 7, 2000 to explore research and policy issues concerning the education of children who, for whatever reason, are at risk of not meeting the normal expectations of the education system.
It includes summaries of presentations, discussions and commissioned research papers. The themes and issues are summarized in a synthesis written by Dr. Robert Crocker of the faculty of education at Memorial University of Newfoundland.
The symposium was held as an activity of the Pan-Canadian Education Research Agenda. The Canadian Education Statistics Council - a partnership between Statistics Canada and the Council of Ministers of Education, Canada - started this research program with a view to promoting research on policy issues in education of concern to researchers, policy-makers and practitioners. Human Resources Development Canada provided financial support for the symposium.
Release date: 2001-05-22
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