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

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

doi:10.1002/sapm198368161

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 journal › Article › peer-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 language	English (US)
Pages (from-to)	61-88
Number of pages	28
Journal	Studies in Applied Mathematics
Volume	68
Issue number	1
DOIs	https://doi.org/10.1002/sapm198368161
State	Published - Jan 1 1983
Externally published	Yes

All Science Journal Classification (ASJC) codes

Applied Mathematics

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title = "A statistical procedure for cluster recognition with application to Atlanta leukemia-lymphoma data",

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.",

author = "Rosenbaum, {D. M.} and Kleitman, {D. J.} and Saks, {M. E.}",

year = "1983",

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AB - 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.

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