Table 4 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 | 3.28 | 3.04 | 3.52 |
S 1(r a i n(t)) | β 1 | 6 | 5.73 | 6.27 |
S 2(r a i n(t)) | β 2 | 0.67 | 0.59 | 0.74 |
Distance | β 3 | -0.19 | -0.20 | -0.17 |
Temperature | β 4 | -0.15 | -0.16 | -0.15 |
Relative humidity | β 5 | 0.0004 | 0.0002 | 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 | -0.04 | -0.21 | 0.12 |
Association main effect | α 1 | 0.14 | 0.07 | 0.21 |
Association interaction | α 2 | 0.31 | 0.20 | 0.41 |
Hyper-parameters | Â | Â | Â | Â |
Penalty | λ | 0.0038 | 0.0017 | 0.0069 |
Random effect covariance | D 1,1 | 27.10 | 25.46 | 28.82 |
Random effect covariance | D 2,1 | 0.92 | 0.51 | 1.33 |
Random effect covariance | D 3,1 | -0.82 | -1.10 | -0.55 |
Random effect covariance | D 2,2 | 3.05 | 2.85 | 3.27 |
Random effect covariance | D 3,2 | 0.81 | 0.71 | 0.92 |
Random effect covariance | D 3,3 | 1.40 | 1.31 | 1.50 |
DIC | 398876 | |||