Testing differences between case and control point patterns using nearest neighbour distances and bootstrapping

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2669, Issue , 2003, Pages 33-42

  Henry, Kevin A ^a   Burge, Leif M ^a   Nguyen, Dao ^b  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

RISK PERCEPTION;

BACTERIAL STRAINS; CONFIDENCE INTERVAL; INFECTIOUS PATHOGENS; NEAREST NEIGHBOUR; NULL HYPOTHESIS; SPATIAL ANALYSIS; SPATIAL STRUCTURE; WILCOXON SIGNED RANK TEST;

DISEASE CONTROL;

EID: 35248869323     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44842-x_4     Document Type: Article

References (16)

1. Getis, Arthur. Second-Order Analysis of Point Patterns: Chicago as a Multi-Center Urban Region. Professional Geographer 35 (1983): 73-80.
2. Boots, Barry N, and Arthur Getis. Point Pattern Analysis. Edited by Grant Ian Thrall, Scientific Geography. London: Sage Publications, 1988.
3. Diggle, P.J. A Point Process Modelling Approach to Raised Incidence of a Rare Phenomenon in the Vicinity of a Prespecified Point. Journal of the Royal Statistical Society 157 (1990): 433-40.
4. Kulldorff, G. M, and N. Nagarwalla. Spatial Disease Clusters: Detection and Inference. Statistics in Medicine 14 (1995): 799-810.
5. Diggle, P.J. Statistical Analysis of Spatial Point Patterns. New York: Academic Press, 1983.
6. Efron, B. Nonparametric Standard Errors and Confidence Intervals. Canadian Journal of Statistics 9 (1981): 139-72.
7. Davison, A.C, and D.V. Hinkley. Bootstrap Methods and Their Applications, Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge: Cambridge University Press, 1997.
8. Solow, A. R. Bootstrapping Sparsely Sampled Spatial Point Patterns. Ecology 70, no. 2 (1989): 379-82.
9. Chernick, Michael R. Bootstrap Methods: A Practitioner's Guide, Probability and Statistics Series. New York: Wiley, John & Sons, Incorporated, 1999.
10. Manly, B. F. J. Randomization and Monte Carlo Methods in Biology. London: Chapman and Hall, 1991.
11. Beyers, N. et al. 1996. The use of a geographical information system (GIS) to evaluate the distribution of tuberculosis in a high-incidence community. S Afr Med J. 86: 40-44
12. Acevedo-Garcia D. Zip-code level risk factors for tuberculsosis: neighborhood environment and residential segregation in New Jersey, 1985-1992. Am J Public Health 2001; 91: 734-741.
13. Kulaga S, Behr MA, Schwartzman K. Genetic fingerprinting in the study of tuberculosis transmission. CMAJ 1999; 161: 1165-9.
14. Statistics Canada. Postal code counts - Population and dwelling counts. 2001,Catalogue no. 92-F0086-XCB
15. Cuzick, J, and R. Edwards. Spatial Clustering for Inhomogeneous Populations. Journal of the Royal Statistical Society 52 (1990): 73-104.
16. Diggle, P.J, and Julian Besag. Statisitcal Analysis of Spatial Point Patterns by Means of Distance Measures. Biometrics 32, no. 3 (1976): 659-67.