A statistical procedure for cluster recognition with application to Atlanta leukemia-lymphoma data

D. M. Rosenbaum, D. J. Kleitman, M. E. Saks

Research output: Contribution to journalArticlepeer-review

Abstract

A description is given of a simple technique for analyzing a multivariable data set to detect significant clustering of data points. The method is illustrated by application to geographic leukemia and lymphoma incidence data in the Atlanta and Providence areas. Unusual clustering patterns are observed for myeloma cases when compared with those of other lymphomas.

Original languageEnglish (US)
Pages (from-to)61-88
Number of pages28
JournalStudies in Applied Mathematics
Volume68
Issue number1
DOIs
StatePublished - Jan 1 1983
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

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