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        FleXScan ver3.1.2 -- purely spatial      
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Scanning method: Flexible spatial scan.

<STATISTICS>
 Original log likelihood ratio.

Program run on: Thu Nov 12 06:05:01 2015

Purely Spatial analysis
scanning for clusters with
high rates using the Poisson model.

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SUMMARY OF DATA

Limit length of cluster: 5
Number of census areas.: 281
Total cases ...........: 552

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MOST LIKELY CLUSTER

1.Census areas included .: 86, 88, 89, 92
  Maximum distance.......: 11.3486 km (areas: 89 to 92)
  Number of cases .......: 24
  (Expected number of cases: 9.24077)
  Overall relative risk .: 2.59719
  Statistic value .......: 8.34958
  Monte Carlo rank ......: 28/1000
  P-value ...............: 0.028

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SECONDARY CLUSTERS

2.Census areas included .: 1, 2, 13, 15, 49
  Maximum distance.......: 2.82418 km (areas: 13 to 49)
  Number of cases .......: 23
  (Expected number of cases: 10.0335)
  Overall relative risk .: 2.29231
  Statistic value .......: 6.2698
  Monte Carlo rank ......: 168/1000
  P-value ...............: 0.168

3.Census areas included .: 37, 38, 40, 43
  Maximum distance.......: 4.46556 km (areas: 37 to 43)
  Number of cases .......: 21
  (Expected number of cases: 8.90675)
  Overall relative risk .: 2.35776
  Statistic value .......: 6.05437
  Monte Carlo rank ......: 194/1000
  P-value ...............: 0.194

4.Census areas included .: 62, 64, 65, 67
  Maximum distance.......: 5.82273 km (areas: 62 to 65)
  Number of cases .......: 25
  (Expected number of cases: 12.8236)
  Overall relative risk .: 1.94953
  Statistic value .......: 4.65184
  Monte Carlo rank ......: 590/1000
  P-value ...............: 0.59

5.Census areas included .: 117, 123, 124, 125
  Maximum distance.......: 1.22164 km (areas: 117 to 125)
  Number of cases .......: 14
  (Expected number of cases: 5.86564)
  Overall relative risk .: 2.38678
  Statistic value .......: 4.10576
  Monte Carlo rank ......: 784/1000
  P-value ...............: 0.784

6.Census areas included .: 166, 167
  Maximum distance.......: 1.01127 km (areas: 166 to 167)
  Number of cases .......: 9
  (Expected number of cases: 3.01554)
  Overall relative risk .: 2.98454
  Statistic value .......: 3.88929
  Monte Carlo rank ......: 839/1000
  P-value ...............: 0.839

7.Census areas included .: 265, 266, 281
  Maximum distance.......: 2.77816 km (areas: 265 to 281)
  Number of cases .......: 11
  (Expected number of cases: 4.20808)
  Overall relative risk .: 2.61402
  Statistic value .......: 3.82013
  Monte Carlo rank ......: 858/1000
  P-value ...............: 0.858

8.Census areas included .: 46, 53, 54
  Maximum distance.......: 4.23304 km (areas: 53 to 54)
  Number of cases .......: 15
  (Expected number of cases: 6.82437)
  Overall relative risk .: 2.19801
  Statistic value .......: 3.69923
  Monte Carlo rank ......: 904/1000
  P-value ...............: 0.904

9.Census areas included .: 131, 132, 139
  Maximum distance.......: 1.9747 km (areas: 131 to 139)
  Number of cases .......: 7
  (Expected number of cases: 2.15127)
  Overall relative risk .: 3.25389
  Statistic value .......: 3.43167
  Monte Carlo rank ......: 946/1000
  P-value ...............: 0.946

10.Census areas included .: 126
  Maximum distance.......: 0 km (areas: 126 to 126)
  Number of cases .......: 5
  (Expected number of cases: 1.35851)
  Overall relative risk .: 3.68051
  Statistic value .......: 2.88583
  Monte Carlo rank ......: 995/1000
  P-value ...............: 0.995

11.Census areas included .: 5, 12
  Maximum distance.......: 0.982643 km (areas: 5 to 12)
  Number of cases .......: 6
  (Expected number of cases: 1.88824)
  Overall relative risk .: 3.17757
  Statistic value .......: 2.84034
  Monte Carlo rank ......: 997/1000
  P-value ...............: 0.997

12.Census areas included .: 171
  Maximum distance.......: 0 km (areas: 171 to 171)
  Number of cases .......: 5
  (Expected number of cases: 1.46184)
  Overall relative risk .: 3.42034
  Statistic value .......: 2.62194
  Monte Carlo rank ......: 999/1000
  P-value ...............: 0.999

13.Census areas included .: 155, 225
  Maximum distance.......: 2.29126 km (areas: 155 to 225)
  Number of cases .......: 11
  (Expected number of cases: 5.36618)
  Overall relative risk .: 2.04988
  Statistic value .......: 2.29088
  Monte Carlo rank ......: 1000/1000
  P-value ...............: 1

*** There are no more secondary clusters ***

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The statistic value required for an observed
cluster to be significant at level
... 0.01: 9.37439
... 0.05: 7.69892

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PARAMETER SETTINGS

Input Files
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  Case File:        C:\Users\Joshua\Dropbox\Code\GitHub\smerc\tests\flex_nycases.txt
  Coordinates File: C:\Users\Joshua\Dropbox\Code\GitHub\smerc\tests\flex_nycoords.txt
  Matrix File:      C:\Users\Joshua\Dropbox\Code\GitHub\smerc\tests\flex_nyw.mt0

Analysis
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  Type of Analysis     : Purely Spatial
  Probability Model    : Poisson
  <STATISTICS>
   Original log likelihood ratio.

  Scan for Area with   : High Rates
  Coordinates          : Latitude/Longitude
  Radius of Earth      : 6370 km

  Number of Replications : 999
  Type of Random number  : Multinomial
  Seed of Random number  : 4586111

Scanning Method
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  Scanning Method :  Flexible scan
  Maximum Spatial Cluster Size : 5 areas

Output
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  Results File : C:\Users\Joshua\Dropbox\Code\GitHub\smerc\tests\flex_out.txt
  Criteria for Reporting Secondary Clusters : No Geographical Overlap

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Program completed  : Thu Nov 12 06:05:03 2015
Total Running Time : 2 seconds