Use of cluster analysis for collapsing imputation classes / E. R. Langlet.: CS11-613/89-19E-PDF
"The problem of collapsing the imputation classes defined by a large number of cross-classifications of auxiliary variables is considered. A solution based on cluster analysis to reduce the number of levels of auxiliary variables to a reasonably small number of imputation classes is proposed. The motivation and solution of this general problem are illustrated by the imputation of age in the Hospital Morbidity System where auxiliary variables are sex and diagnosis"--Abstract.
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| Department/Agency | Canada. Statistics Canada. Social Survey Methods Division. |
|---|---|
| Title | Use of cluster analysis for collapsing imputation classes / E. R. Langlet. |
| Series title | Working paper ; 89-19 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | Digitized edition from print [produced by Statistics Canada]. "Working paper no. SSMD-89-019 E." Includes bibliographic references. Prefatory material in English and French. |
| Publishing information | [Ottawa] : Statistics Canada, 1989. |
| Author / Contributor | Langlet, E. R. |
| Description | 14 p. |
| Catalogue number |
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| Departmental catalogue number | 11-613E |
| Subject terms | Statistical analysis |
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