Covariate adjusted weighted normal spatial scan statistics with applications to study geographic clustering of obesity and lung cancer mortality in the United States

Statistics in Medicine

Volumn 29, Issue 23, 2010, Pages 2410-2422

  Huang, Lan ^a   Tiwari, Ram C ^a   Pickle, Linda W ^b   Zou, Zhaohui ^c  

^a CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^b StatNet Consulting LLC   (United States)

^c INFORMATION MANAGEMENT SERVICES INC   (United States)

Author keywords

Cluster detection; Covariate adjustment; Lung cancer mortality; Obesity; Regional continuous data; Weighted normal spatial scan statistic

Indexed keywords

ADULT; ARTICLE; BODY MASS; CANCER REGISTRY; CLUSTER ANALYSIS; FEMALE; HEALTH SURVEY; HUMAN; LUNG TUMOR; MALE; MIDDLE AGED; MORTALITY; MOTOR ACTIVITY; OBESITY; RACE; SMOKING; STATISTICAL MODEL; STATISTICS; UNITED STATES;

ADULT; BODY MASS INDEX; CLUSTER ANALYSIS; CONTINENTAL POPULATION GROUPS; FEMALE; HEALTH SURVEYS; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MOTOR ACTIVITY; OBESITY; SEER PROGRAM; SMOKING; UNITED STATES;

EID: 79952115758     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3990     Document Type: Article

References (33)

1. Tango T. Statistical Methods for Disease Clustering. Springer: New York, 2010.
2. Kulldorff M. Tests of spatial randomness adjusted for an inhomogeneity: a general framework. Journal of the American Statistician Association 2006; 101(475):1289-1305.
3. Waller LA, Gotway GA. Applied Statistics for Public Health Data. Wiley: New Jersey, 2004.
4. Jung I, Kulldorff M, Klassen A. A spatial scan statistic for ordinal data. Statistics in Medicine 2007; 26(7):1594-1607.
5. Huang L, Kulldorff M, Gregorio D. A spatial scan statistic for survival data. Biometrics 2006; 63:109-118.
6. Kulldorff M, Huang L, Konty K. Normal spatial scan statistics with application to birth weight data in NYC. IJHG 2009; 8:58.
7. Kedem B, Wen S. Semi-parametric cluster detection. Journal of Statistical Theory and Practice 2007; 1(1) (inaugural issue).
8. Richardson S, Thomson A, Best N, Elliot P. Interpreting posterior relative risk estimates in disease-mapping studies. Environmental Health Perspectives 2004; 112:1016-1025.
9. Lawson AB, Browne WJ, Widal Rodeiro CL. Disease Mapping with WinBUGS and MLwiN. Wiley: London, 2003.
10. Knorr-Held L, Rasser G. Bayesian detection of clusters and discontinuities in disease maps. Biometrics 2000 56(1):13-21.
11. Horner Ries LAG, Krapcho M, Neyman N, Aminou R, Howlader N, Altekruse SF, Feuer EJ, Huang L, Mariotto A, Miller BA, Lewis DR, Eisner MP, Stinchcomb DG, Edwards BK (eds). SEER Cancer Statistics Review, 1975-2006. National Cancer Institute. Bethesda, MD, http://seer.cancer.gov/csr/1975_2006/, based on November 2008 SEER data submission, posted to the SEER web site, 2009.
12. Gilbert E, Huang L, Bouville A, Berg C, Ron E. Thyroid cancer rates and 121 I doses from Nevada atmospheric nuclear bomb tests: an update. Radiation Research 2010; 173:659-664.
13. Kulldorff M. A spatial scan statistic. Communications in Statistics: Theory and Methods 1997; 26:1481-1496.
14. Klassen A, Kulldorff M, Curriero F. Geographical clustering of prostate cancer grade and stage at diagnosis, before and after adjustment for risk factors. International Journal of Health Geographics 2005; 4:1.
15. Huang L, Pickle LW, Stinchcomb D, Feuer EJ. Detection of spatial clusters: application to cancer survival as a continuous outcome. Epidemiology 2007; 18:73-87.
16. Kleinman K, Abrams A, Kulldorff M, Platt R. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiology and Infection 2005; 133:409-419.
17. Schlattmann P, Dietz E, Bohning D. Covariate adjusted mixture models and disease mapping with the program dismapwin. Statistics in Medicine 1998 15(79):919-929.
18. Wakefield J. Disease mapping and spatial regression with count data. Biostatistics 2007; 8(2):158-183.
19. Pickle LW et al. Applications of GIS to cancer research at the National Cancer Institute, 2001. Available from http://www.gis.cancer.gov/nci/research.html [5 June 2010].
20. Sheehan TJ, DeChello LM, Kulldorff M, Gregorio DI, Gershman S, Mroszczyk M. The geographic distribution of breast cancer incidence in Massachusetts 1988-1997, adjusted for covariates. International Journal of Health Geographics 2004; 3:17.
21. Fukuda Y, Umezaki M, Nakamura K, Takano T. Variations in societal characteristics of spatial disease clusters: examples of colon, lung and breast cancer in Japan. International Journal of Health Geographics 2005; 4:16.
22. Pollack LA, Gotway CA, Bates JH, Parikh-Patel A, Richards TB, Seeff LC, Hodges H, Kassim S. Use of the spatial scan statistic to identify geographic variations in late stage colorectal cancer in California (United States). Cancer Causes and Control 2006; 17:449-457.
23. Huang L, Tiwari CR, Zou J, Kulldorff M, Feuer EJ. Weighted normal spatial scan statistic for heterogeneous population data. JASA 2009; 104(488):1735-1744.
24. Agency for Healthcare Research and Quality and the Centers for Disease Control. Physical activity and older Americans: benefits and strategies. Available from http://www.ahrq.gov/ppip/activity.htm.
25. Dwass M. Modified randomization tests for nonparametric hypothesis. Annals of Mathematical Statistics 1957; 28:181-187.
26. Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States 1999-2000. JAMA 2006; 295(13):1549-1555.
27. Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight, obesity. JAMA 2005; 293:898-904.
28. Pickle LW, Su Y. Within-state geographic patterns of health insurance coverage and health risk factors in the United States. American Journal of Preventive Medicine 2002; 22(2):75-83.
29. Ezzati M, Martin H, Skjold S, Vander Hoorn S, Murray CJ. Trends in national and state-level obesity in the USA after correction for self-report bias: analysis of health surveys. Journal of the Royal Society of Medicine 2006; 99(5):250-257.
30. Mungiole M, Pickle LW, Simonson KH. Application of a weighted head-baning algorithm to mortality data maps. Statistics in Medicine 1999; 18(23):3201-3209.
31. Pan L, Galuska DA, Sherry B, Hunter AS, Rutledge GE, Dietz WH, Balluz LS. Differences in prevalence of obesity among black, white, and Hispanic adults-United States, 2006-2008. MMWR Weekly Report 2009; 58(27):740-744.
32. Sneve M, Jorde R. Associations between bmi and smoking with reference to other life style factors, the 4th and the 5th Troms studies. Society for Endocrinology BES 2006, Glasgow, U.K. Endocrine Abstracts 2006; 11:285.
33. Carroll RJ, Ruppert D, Stefanski LA, Crainiceanu C. Measurement Error in Nonlinear Models: a Modern Perspective. Chapman & Hall/CRC: London, 2006.