Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Mitchell finds children who lose fathers suffer at cellular level

Seefeldt says hard work alone won't allow poor to reach middle-class status in America

Shaefer says proposed plan to cover tax cuts would hurt a lot of struggling Americans

More News

Highlights

Neal Krause wins GSA's Robert Kleemeier Award

MiCDA Research Fellowship - applications due July 21, 2017

U-M awarded $58 million to develop ideas for preventing and treating health problems

Bailey, Eisenberg , and Fomby promoted at PSC

More Highlights

A Method for Testing Low-Value Spatial Clustering for Rare Diseases

Publication Abstract

Lin, Ge, and T.L. Zhang. 2004. "A Method for Testing Low-Value Spatial Clustering for Rare Diseases." Acta Tropica, 91(3): 279-289.

This paper proposes a method that tests for the existence of low-value spatial clustering while accounting for the influence of high-value clustering. Although the method was developed in reference to the Tango test, it can be extended to other testing methods. The simulation results showed that the proposed method is able to effectively detect low-value clustering with substantially lower rates of type I errors than those of the Tango test, while maintaining comparable statistical power. Applying the method in a case study of leukemia in Minnesota demonstrated an overall tendency toward low-value clustering of leukemia mortality for males but provided inconclusive results for females. (C) 2004 Elsevier B.V. All rights reserved.

Browse | Search : All Pubs | Next