|
Coefficients and goodness of fit of a logistic binary model predicting the probability of high-risk schools for urinary schistosomiasis in Ogun State, on the basis of observed data of disease and environmental variables: Variables in the equation. |
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| Variable |
B |
SE |
Wald |
df |
Sig. |
Exp (B) |
95% C.I. for Exp (B) |
|
|
|
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| Model 2 |
Lower |
Upper |
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|
|
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| LST |
-0.478 |
0.227 |
4.441 |
1 |
0.035 |
0.620 |
0.397 |
0.967 |
| Rainfall |
-0.006 |
0.002 |
16.318 |
1 |
0.0005 |
0.994 |
0.991 |
0.997 |
| Soiltype |
11.706 |
3 |
0.008 |
|||||
| Soiltype (1) |
0.539 |
0.493 |
1.196 |
1 |
0.274 |
1.714 |
0.653 |
4.503 |
| Soiltype (2) |
0.133 |
0.451 |
0.086 |
1 |
0.769 |
1.142 |
0.472 |
2.765 |
| Soiltype (3) |
1.386 |
0.523 |
7.015 |
1 |
0.008 |
3.998 |
1.434 |
11.151 |
| Constant |
20.593 |
8.254 |
6.225 |
1 |
0.013 |
8.8 × 108 |
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|
*df = degree of freedom; SE = standard error; Sig = significance; B = regression coefficient; Exp(B) = odd ratio. Note: Table shows final Model after forward stepwise elimination of non-significant variables. | ||||||||
Ekpo et al. BMC Infectious Diseases 2008 8:74 doi:10.1186/1471-2334-8-74 |
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