Table 2.
Results of the Bayesian computation- prostate cancer
| Prostate cancer (men) | ||
|---|---|---|
| ESTIMATE 1* | ESTIMATE 2* | |
| Mean (95% credibility interval) | Mean (95% credibility interval) | |
| RRdeprivation | ||
| RRQ2-deprivation | 0.8152 (0.6298, 1.0527) | 0.8198 (0.6326, 1.0598) |
| RRQ3-deprivation | 0.8030 (0.6190, 1.0393) | 0.8063 (0.6208, 1.0446) |
| RRQ4-deprivation | 0.7441 (0.5845, 0.9473) | 0.7454 (0.5848, 0.9499) |
| RRQ5-deprivation | 0.6000 (0.4712, 0.7622) | 0.5998 (0.4706, 0.7627) |
| Log RR Population | ||
| Pop. 45–64 years old | 2.7372 (-1.3453, 6.8193) | 2.9080 (-1.1261, 6.9473) |
| Pop. 65 years old or older | 2.5813 (-0.6199, 5.7470) | 2.4672 (-0.6904, 5.5819) |
| Random effects standard error | ||
| Temporal dependency | 0.04279 | 0.00675 |
| Heterogeneity | 0.04576 | 0.04519 |
| Spatial dependency | 0.03810 | 0.04213 |
| Spatial-temporal interaction | - | 0.00204 |
| DIC | 11289.16 | 11293.09 |
| -log(mean(cpo)) | 1.1239 | 1.1244 |
Shaded, the 95% credibility interval did not contain the unit (i.e. statistically significant at 95%).
*Estimation 1: Model with separability between spatial and temporal patterns and without interaction between these.
Estimation 2: Model with separability between spatial and temporal patterns and with interaction between these.