Table 4:
Model Component | Parameter | Variable | Posterior Mean (95% CrI) |
---|---|---|---|
Binary | β10 | Intercept | 0.11 (−0.10, 0.34) |
β11 | Year | −0.07 (−0.09, −0.06) | |
β12 | Age | 0.00 (−0.002, 0.002) | |
β12 | Male Gender | −0.02 (−0.12, 0.09) | |
β12 | NHW Race | 0.03 (−0.01, 0.08) | |
β12 | Full Disability Coverage | −0.12 (−0.17, −0.07) | |
β12 | Elixhauser Score | 0.43 ( 0.41, 0.45) | |
Count | β20 | Intercept | 0.86 ( 0.72, 1.00) |
β21 | Year | −0.04 (−0.05, −0.03) | |
β22 | Age | 0.003 ( 0.002, 0.005) | |
β22 | Male Gender | 0.05 (−0.01, 0.12) | |
β22 | NHW Race | −0.04 (−0.07, −0.01) | |
β22 | Full Disability Coverage | −0.04 (−0.09, −0.01) | |
β22 | Elixhauser Score | 0.16 ( 0.15, 0.17) | |
r | Dispersion | 0.77 ( 0.72, 0.83) | |
Random | Γ11 | Var(ϕ1i1) | 0.04 (0.03, 0.05) |
Effects | Γ12 | Cov(ϕ1i1, ϕ1i2) | 0.01 (0.001, 0.01) |
Γ13 | Cov(ϕ1i1, ϕ2i1) | 0.01 (0.002, 0.02) | |
Γ14 | Cov(ϕ1i1, ϕ2i2) | 0.01 (0.001, 0.01) | |
Γ22 | Var(ϕ1i2) | 0.02 (0.01, 0.02) | |
Γ23 | Cov(ϕ1i2, ϕ2i1) | 0.01 (0.001, 0.01) | |
Γ24 | Cov(ϕ1i2, ϕ2i2) | 0.003 (0.001, 0.01) | |
Γ33 | Var(ϕ2i1) | 0.06 (0.05, 0.09) | |
Γ34 | Cov(ε2i1, ϕ2i2) | 0.01 (0.01, 0.02) | |
Γ44 | Var(ϕ2i2) | 0.02 (0.01, 0.02) |