Statistical methods for the detection of spatial clustering in case-control data

Statistics in Medicine

Volumn 25, Issue 5, 2006, Pages 811-823

  Rogerson, Peter A ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

Case control data; Global and local tests; k functions; Spatial clustering

Indexed keywords

ARTICLE; CASE CONTROL STUDY; CHILD; CHILDHOOD LEUKEMIA; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA ANALYSIS; DISEASE SURVEILLANCE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HEALTH STATISTICS; HUMAN; INTERMETHOD COMPARISON; LYMPHOMA; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; METHODOLOGY; MONTE CARLO METHOD; NULL HYPOTHESIS; PROBABILITY; UNITED KINGDOM;

BAYES THEOREM; CASE-CONTROL STUDIES; CHILD; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; GREAT BRITAIN; HUMANS; LEUKEMIA; LYMPHOMA;

EID: 33644634673     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2426     Document Type: Article

References (14)

1. Besag J, Newell J. The detection of clusters in rare diseases. Journal of the Royal Statistical Society, Series A 1991; 154:327-333.
2. Cuzick J, Edwards R. Spatial clustering for inhomogeneous populations (with discussion). Journal of the Royal Statistical Society, Series B 1990; 52:73-104.
3. Koehler KJ, Lamtz K. An empirical investigation of goodness-of-fit statistics for sparse multinomials. Journal of the American Statistical Association 1980; 75:336-344.
4. Tango T. A class of tests for detecting 'general' and 'focused' clustering of rare diseases. Statistics in Medicine 1995; 14:2323-2334.
5. Rogerson P. The detection of clusters using a spatial version of the chi-squared goodness-of-fit test. Geographical Analysis 1999; 31:130-147.
6. Stone R. Investigation of excess environmental risks around putative sources: statistical problems and a proposed test. Statistics in Medicine 1988; 7:649-660.
7. Diggle PJ. A point process modeling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point. Journal of the Royal Statistical Society, Series A 1990; 153:349-362.
8. Diggle PJ, Rowlingson BS. A conditional approach to point process modeling of elevated risk. Journal of the Royal Statistical Society, Series A 1994; 157:433-440.
9. Lagazio C, Marchi M, Biggeri A. The association between risk of disease and point sources of pollution: a test for case-control data. Statistica Applicata 1996; 8:343-356.
10. Kulldorff M. Statistical methods for spatial epidemiology: tests for randomness. In GIS and Health, Gatrell AC, Loytonen M (eds). Taylor and Francis: London, 1998.
11. Diggle PJ, Chetwynd AG. Second order analysis of spatial clustering for inhomogeneous populations. Biometrics 1991; 47:1155-1163.
12. Tango T. Comparison of general tests for disease clustering. In Disease Mapping and Risk Assessment for Public Health, Lawson A et al. (eds). Wiley: New York, 1999; 111-117.
13. Hirotsu C. Beyond analysis of variance techniques: some applications in clinical trials. International Statistical Review 1993; 61:183-201.
14. 2 random field, with an application to fMRI. Advances in Applied Probability 2001; 33:773-793.