00000nam 2200000za 4500 9.837472 CaOODSP 20221107151139 cr ||||||||||| 170531s1989 onc |o f|0| 0 eng d CaOODSP eng eng fre n-cn--- CS11-613/89-19E-PDF Langlet, E. R. Use of cluster analysis for collapsing imputation classes [electronic resource] / E. R. Langlet. [Ottawa] : Statistics Canada, 1989. 14 p. Working paper ; 89-19 Digitized edition from print [produced by Statistics Canada]. "Working paper no. SSMD-89-019 E." Includes bibliographic references. "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. Prefatory material in English and French. gccst Statistical analysis Canada. Statistics Canada. Social Survey Methods Division. Working paper (Statistics Canada. Methodology Branch) 89-19 (CaOODSP)9.834763 PDF 1.32 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-613-89-19-eng.pdf 11-613E