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Table 2 Summary of spatial risk analysis by different models with the generalized map-based pattern recognition procedure

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

Parameter

Covariates included in the models

 

Race

Race + 

Race × High-Risk

Race + Race × Low-Risk

Race + Race × High-Risk + Race × Low-Risk

b0

1.61

(1.95 × 10–1)

1.98

(1.83 × 10–1)

1.86

(1.79 × 10–1)

2.15

(1.66 × 10–1)

Covariate

    

 Race

3.87 × 10–2

(5.53 × 10–3)

2.11 × 10–2

(5.80 × 10–3)

3.54 × 10–2

(4.95 × 10–3)

2.02 × 10–2

(5.16 × 10–3)

 Race × High-Risk

 

2.36 × 10–2

(4.26 × 10–3)

 

2.09 × 10–2

(3.82 × 10–3)

 Race × Low-Risk

  

− 3.73 × 10–2

(7.14 × 10–3)

− 3.26 × 10–2

(6.32 × 10–3)

F for Overall Regression

    

 Regression | b0

48.97

47.23

44.71

48.71

Sequential F-Test

    

 Due to b1 | b0

48.97

63.90

62.21

80.89

 Due to b2 | b1, b0

 

30.57

 

38.70

 Due to b3 | b2, b1, b0

  

27.21

26.53

Adjusted R2 (R2)

32.86%

(33.55%)

48.55%

(49.60%)

47.15%

(48.23%)

59.36%

(60.60%)

  1. 1.Covariate High-Risk is coded as 1 for 18 counties in the 3 hierarchical intensity clusters of peak incidence and 0 otherwise
  2. 2.Covariate Low-Risk is coded as 1 for 18 counties in the 3 hierarchical intensity clusters of incidence paucity and 0 otherwise