Skip to main content

Table 3 Summary of spatial risk analysis by different models with the spatial scan statistic

From: Spatially varying effects of measured confounding variables on disease risk

Parameter

Covariates included in the models

 

Race1

Race + 

Race × High-Risk

Race + 

Race × Low-Risk

Race + Race × High-Risk + 

Race × Low-Risk

b0

1.61

(1.95 × 10–1)

1.75

(1.94 × 10–1)

1.79

(1.96 × 10–1)

1.91

(1.94 × 10–1)

Covariate

    

 Race

3.87 × 10–2

(5.53 × 10–3)

3.22 × 10–2

(5.79 × 10–3)

3.59 × 10–2

(5.38 × 10–3)

3.00 × 10–2

(5.61 × 10–3)

 Race × High-Risk

 

1.62 × 10–2

(5.63 × 10–3)

 

1.52 × 10–2

(5.41 × 10–3)

 Race × Low-Risk

  

− 2.58 × 10–2

(8.30 × 10–3)

− 2.44 × 10–2

(8.03 × 10–3)

F for Overall Regression

    

 Regression | b0

48.97

30.48

31.48

25.13

Sequential F-Test

    

 Due to b1 | b0

48.97

52.66

53.33

57.17

 Due to b2 | b1, b0

 

8.30

 

9.01

 Due to b3 | b2, b1, b0

  

9.63

9.22

Adjusted R2 (R2)

32.86%

(33.55%)

37.56%

(38.84%)

38.35%

(39.61%)

42.49%

(44.25%)

  1. 1.The second column is identical to the second column of Table 2
  2. 2. Covariate High-Risk is coded as 1 for 9 counties in the most likely and secondary clusters of peak incidence and 0 otherwise
  3. 3. Covariate Low-Risk is coded as 1 for 14 counties in the most likely cluster of incidence paucity and 0 otherwise