Table 1 Parameter estimates and 95% credible intervals for the joint model
From: Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia
| Â | Parameter | Posterior mean | 2.5% | 97.5% |
|---|---|---|---|---|
Abundance model | Â | Â | Â | Â |
Intercept | β 0 | 3.12 | 2.89 | 3.36 |
S 1(r a i n(t)) | β 1 | 5.99 | 5.72 | 6.26 |
S 2(r a i n(t)) | β 2 | 0.67 | 0.59 | 0.74 |
Distance | β 3 | -0.13 | -0.17 | -0.11 |
Temperature | β 4 | -0.15 | -0.16 | -0.15 |
Relative humidity | β 5 | 0.0004 | 0.0001 | 0.0006 |
Corrugate roof | β 6 | 0.05 | -0.07 | 0.17 |
Measurement error | σ | 0.69 | 0.69 | 0.70 |
Time to event model | Â | Â | Â | Â |
Age | θ 1 | 0.01 | -0.03 | 0.05 |
Gender | θ 2 | -0.05 | -0.21 | 0.12 |
Association main effect | α 1 | 0.14 | 0.06 | 0.21 |
Association interaction | α 2 | 0.31 | 0.20 | 0.41 |
Hyper-parameters | Â | Â | Â | Â |
Penalty | λ | 0.0031 | 0.0014 | 0.0055 |
Random effect covariance | D 1,1 | 26.96 | 25.37 | 28.70 |
Random effect covariance | D 2,1 | 0.75 | 0.35 | 1.16 |
Random effect covariance | D 3,1 | -0.80 | -1.07 | -0.53 |
Random effect covariance | D 2,2 | 3.05 | 2.84 | 3.27 |
Random effect covariance | D 3,2 | 0.82 | 0.71 | 0.93 |
Random effect covariance | D 3,3 | 1.40 | 1.31 | 1.50 |
DIC | 398866.1 | |||