_____________________________ SaTScan v9.6 _____________________________ Program run on: Mon Nov 05 14:14:43 2018 Purely Spatial analysis scanning for clusters with high rates using the Discrete Poisson model. _______________________________________________________________________________________________ SUMMARY OF DATA Study period.......................: 2000 to 2000 Number of locations................: 281 Population, averaged over time.....: 1057673 Total number of cases..............: 552 Annual cases / 100000..............: 19062.0 _______________________________________________________________________________________________ CLUSTERS DETECTED 1.Location IDs included.: 52, 50, 37, 49, 38, 48, 53, 39, 15, 47, 51, 1, 40, 44, 16, 2, 55, 36, 14, 43, 13, 45, 3, 35, 17, 11, 12, 46 Coordinates / radius..: (42.0838,-75.9898) / 0.087 Population............: 111674 Number of cases.......: 100 Expected cases........: 58.28 Annual cases / 100000.: 32706.1 Observed / expected...: 1.72 Relative risk.........: 1.87 Log likelihood ratio..: 14.083511 P-value...............: 0.00015 2.Location IDs included.: 89, 88, 87, 84, 90, 86, 92, 85 Coordinates / radius..: (42.628,-76.1041) / 0.13 Population............: 34083 Number of cases.......: 38 Expected cases........: 17.79 Annual cases / 100000.: 40721.8 Observed / expected...: 2.14 Relative risk.........: 2.22 Log likelihood ratio..: 9.019716 P-value...............: 0.016 3.Location IDs included.: 112, 113, 115, 111, 116, 219, 117, 123, 218, 114, 122, 110, 124, 220, 118, 133, 121, 125, 216, 120, 134, 217, 126, 139, 215, 132, 141, 140, 127, 142, 138, 131, 119 Coordinates / radius..: (43.0814,-76.1481) / 0.040 Population............: 78280 Number of cases.......: 64 Expected cases........: 40.85 Annual cases / 100000.: 29861.4 Observed / expected...: 1.57 Relative risk.........: 1.64 Log likelihood ratio..: 6.114140 P-value...............: 0.248 4.Location IDs included.: 62, 64, 67, 65 Coordinates / radius..: (42.9637,-76.528) / 0.061 Population............: 24571 Number of cases.......: 25 Expected cases........: 12.82 Annual cases / 100000.: 37161.9 Observed / expected...: 1.95 Relative risk.........: 1.99 Log likelihood ratio..: 4.651839 P-value...............: 0.645 5.Location IDs included.: 266, 281, 267, 265 Coordinates / radius..: (42.4722,-76.4635) / 0.026 Population............: 9840 Number of cases.......: 12 Expected cases........: 5.14 Annual cases / 100000.: 44541.8 Observed / expected...: 2.34 Relative risk.........: 2.37 Log likelihood ratio..: 3.363518 P-value...............: 0.965 6.Location IDs included.: 166, 159, 167 Coordinates / radius..: (43.0152,-76.1629) / 0.012 Population............: 8839 Number of cases.......: 11 Expected cases........: 4.61 Annual cases / 100000.: 45453.9 Observed / expected...: 2.38 Relative risk.........: 2.41 Log likelihood ratio..: 3.209485 P-value...............: 0.982 _______________________________________________________________________________________________ PARAMETER SETTINGS Input ----- Case File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\satscan_ny_cases.txt Population File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\satscan_ny_pop.txt Time Precision : Generic Start Time : 2000 End Time : 2000 Coordinates File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\satscan_ny_coords.txt Coordinates : Cartesian Analysis -------- Type of Analysis : Purely Spatial Probability Model : Discrete Poisson Scan for Areas with : High Rates Output ------ Main Results File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.txt Cluster File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.col.dbf Stratified Cluster File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.sci.dbf Location File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.gis.dbf Risk Estimates File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.rr.dbf Simulated LLRs File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.llr.dbf Data Checking ------------- Temporal Data Check : Check to ensure that all cases and controls are within the specified temporal study period. Geographical Data Check : Check to ensure that all observations (cases, controls and populations) are within the specified geographical area. Spatial Neighbors ----------------- Use Non-Euclidian Neighbors file : No Use Meta Locations File : No Multiple Coordinates Type : Allow only one set of coordinates per location ID. Spatial Window -------------- Maximum Spatial Cluster Size : 50 percent of population at risk Maximum Spatial Cluster Size : 50 Cartesian units Window Shape : Circular Isotonic Scan : No Cluster Restrictions -------------------- Minimum Cases in Cluster for High Rates : 2 Restrict High Rate Clusters : No Space And Time Adjustments -------------------------- Adjust for known relative risks : No Inference --------- P-Value Reporting : Default Combination Number of Replications : 999 Adjusting for More Likely Clusters : No Border Analysis --------------- Report Oliveira's F : No Spatial Output -------------- Report Hierarchical Clusters : Yes Criteria for Reporting Secondary Clusters : No Geographical Overlap Report Gini Optimized Cluster Collection : No Restrict Reporting to Smaller Clusters : No Other Output ------------ Report Critical Values : No Report Monte Carlo Rank : No Run Options ----------- Processor Usage : All Available Processors Suppress Warnings : No Logging Analysis : No System ------ Parameters Version : 9.2.0 _______________________________________________________________________________________________ Program completed : Mon Nov 05 14:14:45 2018 Total Running Time : 2 seconds Processor Usage : 4 processors