From: Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia
Parameter | Posterior mean | 2.5% | 97.5% | |
---|---|---|---|---|
Abundance model | ||||
Intercept | β _{0} | 0.18 | -0.03 | 0.39 |
S _{1}(r a i n(t)) | β _{1} | 4.37 | 4.16 | 4.59 |
S _{2}(r a i n(t)) | β _{2} | 0.92 | 0.85 | 0.98 |
Measurement error | σ | 0.71 | 0.70 | 0.71 |
Time to event model | ||||
Age | θ _{1} | 0.01 | -0.03 | 0.05 |
Gender | θ _{2} | -0.05 | -0.22 | 0.12 |
Association main effect | α _{1} | 0.12 | 0.04 | 0.19 |
Association interaction | α _{2} | 0.26 | 0.16 | 0.36 |
Hyper-parameters | ||||
Penalty | λ | 0.003 | 0.002 | 0.006 |
Random effect covariance | D _{1,1} | 23.55 | 22.15 | 25.05 |
Random effect covariance | D _{2,1} | 0.58 | 0.26 | 0.89 |
Random effect covariance | D _{3,1} | -0.73 | -0.99 | -0.49 |
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} | 1.42 | 1.32 | 1.52 |
DIC | 403452.2 |