From: Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia
 | Parameter | Posterior mean | 2.5% | 97.5% |
---|---|---|---|---|
Abundance model | Â | Â | Â | Â |
Intercept | β 0 | 0.66 | 0.40 | 0.91 |
S 1(r a i n(t)) | β 1 | 4.40 | 4.18 | 4.61 |
S 2(r a i n(t)) | β 2 | 0.92 | 0.85 | 0.99 |
Distance | β 3 | -0.19 | -0.23 | -0.12 |
Measurement error | σ | 0.71 | 0.70 | 0.71 |
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 | 0.12 | 0.04 | 0.19 |
Association interaction | α 2 | 0.27 | 0.16 | 0.37 |
Hyper-parameters | Â | Â | Â | Â |
Penalty | λ | 0.005 | 0.002 | 0.008 |
Random effect covariance | D 1,1 | 24.22 | 22.78 | 25.77 |
Random effect covariance | D 2,1 | 0.94 | 0.60 | 1.27 |
Random effect covariance | D 3,1 | -0.73 | -0.99 | -0.47 |
Random effect covariance | D 2,2 | 2.16 | 2.01 | 2.31 |
Random effect covariance | D 3,2 | 0.81 | 0.72 | 0.91 |
Random effect covariance | D 3,3 | 1.41 | 1.32 | 1.51 |
DIC | 403478.6 |