From: Bayesian estimation of the effect of health inequality in disease detection
Model No. | Combination of λt,s and πs | P(m|z) |
---|---|---|
Model 4 | \(\begin {array}{rl} \lambda _{t,s} \; = \log (\text {Pop}_{s}) \; & + \; \alpha _{0} \; + \alpha _{1.1} \; \text {seifa}_{s} + \alpha _{1.2} \; \text {seifa}_{s} + \alpha _{2} \; \text {hhsize}_{s}\\ & + \; \alpha _{4} \; \text {AccessDifficulty}_{s} + \; \phi _{s} \; + \; \theta _{s} \; + \; f(t) \end {array}\) | 0.054 |
πs =β0+β1 GPs+β2 GPclinics | ||
Model 13 | \(\begin {array}{rl} \lambda _{t,s} \; = \log (\text {Pop}_{s}) \; & + \; \alpha _{0} \; + \alpha _{1.1} \; \text {seifa}_{s} + \alpha _{1.2} \; \text {seifa}_{s} + \alpha _{2} \; \text {hhsize}_{s} \\ &+ \; \alpha _{3} \; \text {homeless}_{s} + \; \phi _{s} \; + \; \theta _{s} \; + \; f(t) \end {array}\) | 0.109 |
πs =β0+β1 GPs+β2 GPclinics+β3 AccessDifficultys | ||
Model 16 | \(\begin {array}{rl} \lambda _{t,s} \; = \log (\text {Pop}_{s}) \; & + \; \alpha _{0} \; + \alpha _{1.1} \; \text {seifa}_{s} + \alpha _{1.2} \; \text {seifa}_{s} + \alpha _{2} \; \text {hhsize}_{s} \\ & + \; \phi _{s} \; + \; \theta _{s} \; + \; f(t) \end {array}\) | 0.164 |
πs =β0+β1 GPs+β2 GPclinics+β3 AccessDifficultys | ||
Model 19 | \(\begin {array}{rl} \lambda _{t,s} \; = \log (\text {Pop}_{s}) \; & + \; \alpha _{0} \; + \alpha _{1.1} \; \text {seifa}_{s} + \alpha _{1.2} \; \text {seifa}_{s} \\ & + \; \alpha _{3} \; \text {homeless}_{s} + \; \phi _{s} \; + \; \theta _{s} \; + \; f(t) \end {array}\) | 0.062 |
πs =β0+β1 GPs+β2 GPclinics+β3 AccessDifficultys | ||
Model 22 | \(\begin {array}{rl} \lambda _{t,s} \; = \log (\text {Pop}_{t,s}) \; & + \; \alpha _{0} \; + \alpha _{1.1} \; \text {seifa}_{s} + \alpha _{1.2} \; \text {seifa}_{s} \\ & + \; \phi _{s} \; + \; \theta _{s} \; + \; f(t) \end {array}\) | 0.402 |
πs =β0+β1 GPs+β2 GPclinics+β3 AccessDifficultys |