Grant Number:	1R01CA095979-01 Interpret this number
Primary Investigator:	Kulldorff, Martin
Organization:	University Of Connecticut Sch Of Med/Dnt
Project Title:	Tests for Spatial Randomness in Cancer Maps
Fiscal Year:	2002

DESCRIPTION (provided by applicant): Cancer maps can provide important clues concerning geographical variability in the etiology, prevention, screelling or treatment of cancer. As in all medical research, it ts important to determine whether any variation observed may reasonably be due to chance or not. This can be done using tests for spatial randomness, adjusting for the uneven geographical population density. Many such tests have been proposed, but for most, little is known about their properties, and they are seldomly used in cancer atlases. In this methodological project we will (i) develop theoretical properties that any test for spatial randomness should fulfill in order to be useful for cancer maps, (ii) determine which test statistics do and do not fulfifi these properties, (iii) evaluate the statistical power of different test statistics for different alternative hypotheses, (iv) determine the ability of different tests to estimate cluster model parameters when the null hypothesis is rejected, and (v) evaluate and ifiustrate the practical use of different test statistics on, among other data sets, county based brain cancer mortality data from the United States and individually geocoded breast cancer treatment data from Connecticut.




Gumbel based p-value approximations for spatial scan statistics.
Authors: Abrams A.M. , Kleinman K. , Kulldorff M. .
Source: International Journal Of Health Geographics, 2010-12-17 00:00:00.0; 9, p. 61.
EPub date: 2010-12-17 00:00:00.0.
PMID: 21167043
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Power Evaluation of Focused Cluster Tests.
Authors: Puett R. , Lawson A. , Clark A. , Hebert J. , Kulldorff M. .
Source: Environmental And Ecological Statistics, 2010 Sep; 17(3), p. 303-316.
PMID: 24872726
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Evaluation of the performance of tests for spatial randomness on prostate cancer data.
Authors: Hinrichsen V.L. , Klassen A.C. , Song C. , Kulldorff M. .
Source: International Journal Of Health Geographics, 2009-07-03 00:00:00.0; 8, p. 41.
EPub date: 2009-07-03 00:00:00.0.
PMID: 19575788
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Likelihood based tests for spatial randomness.
Authors: Song C. , Kulldorff M. .
Source: Statistics In Medicine, 2006-03-15 00:00:00.0; 25(5), p. 825-39.
PMID: 16453369
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Geographically based investigation of prostate cancer mortality in four U.S. Northern Plain states.
Authors: Rusiecki J.A. , Kulldorff M. , Nuckols J.R. , Song C. , Ward M.H. .
Source: American Journal Of Preventive Medicine, 2006 Feb; 30(2 Suppl), p. S101-8.
PMID: 16458784
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Cancer map patterns: are they random or not?
Authors: Kulldorff M. , Song C. , Gregorio D. , Samociuk H. , DeChello L. .
Source: American Journal Of Preventive Medicine, 2006 Feb; 30(2 Suppl), p. S37-49.
PMID: 16458789
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Tango's maximized excess events test with different weights.
Authors: Song C. , Kulldorff M. .
Source: International Journal Of Health Geographics, 2005-12-15 00:00:00.0; 4, p. 32.
EPub date: 2005-12-15 00:00:00.0.
PMID: 16356179
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Brain cancer mortality in the United States, 1986 to 1995: a geographic analysis.
Authors: Fang Z. , Kulldorff M. , Gregorio D.I. .
Source: Neuro-oncology, 2004 Jul; 6(3), p. 179-87.
PMID: 15279710
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Power evaluation of disease clustering tests.
Authors: Song C. , Kulldorff M. .
Source: International Journal Of Health Geographics, 2003-12-19 00:00:00.0; 2(1), p. 9.
EPub date: 2003-12-19 00:00:00.0.
PMID: 14687424
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