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Bailey and Dynarski's work cited in Bloomberg article on growing U.S. inequality

Frey says current minority college completion rates predict decline in college-educated Americans

Kimball and unnamed coauthor examine male bias in economics

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Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Next Brown Bag

Monday, Jan 26
Jeff Smith, Consequences of Student-College Mismatch

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.

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