Table 4. Maximum likelihood estimates for the best fit generalized linear models for springbok helminths.
Response | Coefficients | Estimate ± SE | z Value | Pr(>|z|) | N | ΔAIC |
---|---|---|---|---|---|---|
GIP | Intercept | 4.50 ± 0.22 | 20.6 | 0.000*** | 267 | 18.8 |
Rain2 | 0.01 ± 1.16e-03 | 8.93 | 0.000*** | |||
GISsqrt | 0.08 ± 0.012 | 6.73 | 0.000*** | |||
FGM | 4.46e-05 ± 2.30e-05 | 1.94 | 0.052. | |||
Rain2*GISsqrt | -3.67e-04 ± 7.87e-05 | -4.67 | 0.000*** | |||
GIP | Intercept | 4.74 ± 0.24 | 19.4 | 0.000*** | 114 | 10.9 |
Rain2 | 0.01 ± 0.01 | 5.75 | 0.000*** | |||
GISsqrt | 0.09 ± 0.02 | 3.74 | 0.000*** | |||
Rain2*GISsqrt | -4.49e-04 ± 1.43e-04 | -3.14 | 0.002** | |||
GIP (males) | Intercept | 4.75 ± 0.26 | 18.3 | 0.000*** | 77 | 44.2 |
Rain2 | 8.49e-03 ± 1.89e-03 | 4.50 | 0.000*** | |||
GISsqrt | 0.10 ± 0.03 | 4.09 | 0.000*** | |||
Rain2*GISsqrt | -3.87e-04 ± 1.44e-04 | -2.69 | 0.007** | |||
GIS Counts | Intercept | 6.64 ± 0.21 | 32.4 | 0.000*** | 267 | 41.7 |
Rain2 | -3.00e-03 ± 9.78e-04 | -3.06 | 0.002** | |||
GIC4 | 0.07 ± 0.02 | 3.50 | 0.001*** | |||
FGM | -1.63e-05 ± 1.13e-06 | -40.1 | 0.000*** | |||
GIS Zeros | Intercept | 2.80 ± 0.56 | 5.01 | 0.000*** | ||
Rain2 | -9.30e-03 ± 3.10e-03 | -3.00 | 0.003** | |||
GIPsqrt | -0.08 ± 0.02 | -3.6 | 0.000*** | |||
GIC4 | -0.30 ± 0.09 | -3.19 | 0.001*** | |||
GIS Counts | Intercept | 6.65 ± 0.16 | 43.0 | 0.000*** | 114 | 4.33 |
FEM | -2.13e-04 ± 8.12e-05 | -2.62 | 0.009** | |||
GIS Zeros | Intercept | 3.16 ± 1.09 | 2.89 | 0.004** | ||
GIPsqrt | -0.15 ± 0.04 | -3.66 | 0.000*** | |||
GIC4 | -0.61 ± 0.17 | -3.58 | 0.000*** | |||
FEM | 1.05e-03 ± 4.34e-04 | 2.42 | 0.016* | |||
GIS (males) Zeros | Intercept | -2.97 ± 0.73 | -4.05 | 0.000*** | 77 | 2.30 |
GIPsqrt | 0.11 ± 0.03 | 3.53 | 0.000*** | |||
GIC4 | 0.29 ± 0.10 | 2.90 | 0.004** |
Significant coefficients (p≤ 0.05) are in bold.
The series of nested models (with different N) follow the same patterns listed in the caption for Table 3.
p≤0.1
*p≤0.05
**p≤0.01
***p≤0.001