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Table 7 Cluster statistics for counties with the smaller poisson probability for Ni ≤ μ(Ai)

From: Differentiating anomalous disease intensity with confounding variables in space

Rank order

County

SMR

SIDS

E(SIDS)

Poisson

B1

P value1

Risk level

B2

P value2

100

Forsyth

0.41

10

24.34

\(\text{8.80}{\times10}^{-4}\)

–

 

LP1

–

 

99

Wake

0.56

16

28.72

\(\text{7.23}{\times10}^{-3}\)

0

1

LP1

0

1

98

Guilford

0.69

23

33.57

\(\text{3.53}{\times10}^{-2}\)

1

\(\text{1.43}{\times10}^{-1}\)

LP1

1

\(\text{1.16}{\times10}^{-1}\)

97

Rowan

0.36

3

8.24

\(\text{3.59}{\times10}^{-2}\)

1

\(\text{2.68}{\times10}^{-1}\)

LP1

1

\(\text{2.20}{\times10}^{-1}\)

96

Cabarrus

0.42

3

7.12

\(\text{7.59}{\times10}^{-2}\)

2

\(\text{7.27}{\times10}^{-2}\)

LP1

2

\(\text{4.87}{\times10}^{-2}\)

95

Iredell

0.51

4

7.91

\(\text{1.05}{\times10}^{-1}\)

4

\(\text{6.70}{\times10}^{-3}\)

LP1

3

\(\text{2.04}{\times10}^{-2}\)

94

Catawba

0.56

5

8.92

\(\text{1.21}{\times10}^{-1}\)

5

\(\text{4.36}{\times10}^{-3}\)

LP1

4

\(\text{9.59}{\times10}^{-3}\)

93

Union

0.54

4

7.36

\(\text{1.43}{\times10}^{-1}\)

6

\(\text{3.21}{\times10}^{-3}\)

LP1

5

\(\text{5.45}{\times10}^{-3}\)

92

Alexander

0.00

0

1.92

\(\text{1.46}{\times10}^{-1}\)

8

\(\text{6.85}{\times10}^{-4}\)

LP1

7

\(\text{8.79}{\times10}^{-4}\)

91

Sampson

0.55

4

7.24

\(\text{1.52}{\times10}^{-1}\)

8

\(\text{2.25}{\times10}^{-3}\)

LP2

7

\(\text{2.52}{\times10}^{-3}\)

90

Gaston

0.75

11

14.71

\(\text{2.05}{\times10}^{-1}\)

8

\(\text{6.44}{\times10}^{-3}\)

LP2

8

\(\text{1.98}{\times10}^{-3}\)

89

Martin

0.48

2

4.15

\(\text{2.17}{\times10}^{-1}\)

8

\(\text{1.61}{\times10}^{-2}\)

LP2

8

\(\text{5.24}{\times10}^{-3}\)

88

Cumberland

0.89

38

42.62

\(\text{2.69}{\times10}^{-1}\)

9

\(\text{1.46}{\times10}^{-2}\)

LP2

9

\(\text{4.46}{\times10}^{-3}\)

87

Durham

0.83

16

19.22

\(\text{2.75}{\times10}^{-1}\)

10

\(\text{1.40}{\times10}^{-2}\)

LP2

10

\(\text{3.80}{\times10}^{-3}\)

86

Richmond

0.67

4

6.00

\(\text{2.85}{\times10}^{-1}\)

10

\(\text{3.25}{\times10}^{-2}\)

LP2

10

\(\text{8.98}{\times10}^{-3}\)

85

Buncombe

0.79

9

11.38

\(\text{3.01}{\times10}^{-1}\)

10

\(\text{6.75}{\times10}^{-2}\)

LP2

10

\(\text{1.94}{\times10}^{-2}\)

84

Franklin

0.56

2

3.58

\(\text{3.05}{\times10}^{-1}\)

11

\(\text{6.68}{\times10}^{-2}\)

LP2

11

\(\text{1.80}{\times10}^{-2}\)

83

Gates

0.00

0

1.16

\(\text{3.13}{\times10}^{-1}\)

11

\(\text{1.25}{\times10}^{-1}\)

LP2

11

\(\text{3.68}{\times10}^{-2}\)

82

Orange

0.69

4

5.79

\(\text{3.14}{\times10}^{-1}\)

12

\(\text{1.28}{\times10}^{-1}\)

LP2

12

\(\text{3.53}{\times10}^{-2}\)

81

Chatham

0.57

2

3.50

\(\text{3.21}{\times10}^{-1}\)

15

\(\text{4.36}{\times10}^{-2}\)

LP2

15

\(\text{8.03}{\times10}^{-3}\)

80

Stokes

0.43

1

2.34

\(\text{3.22}{\times10}^{-1}\)

17

\(\text{2.70}{\times10}^{-2}\)

LP2

16

\(\text{8.58}{\times10}^{-3}\)

79

Duplin

0.70

4

5.72

\(\text{3.24}{\times10}^{-1}\)

18

\(\text{3.22}{\times10}^{-2}\)

LP3

17

\(\text{9.38}{\times10}^{-3}\)

78

Vance

0.71

4

5.67

\(\text{3.32}{\times10}^{-1}\)

19

\(\text{3.89}{\times10}^{-2}\)

LP3

18

\(\text{1.03}{\times10}^{-2}\)

77

Johnston

0.77

6

7.80

\(\text{3.38}{\times10}^{-1}\)

22

\(\text{1.51}{\times10}^{-2}\)

LP3

19

\(\text{1.19}{\times10}^{-2}\)

76

Macon

0.00

0

0.97

\(\text{3.78}{\times10}^{-1}\)

22

\(\text{3.45}{\times10}^{-2}\)

 

19

\(\text{2.47}{\times10}^{-2}\)