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Table 4 Sensitivity analyses for oesophageal cancer survival among males

From: Developing the atlas of cancer in Queensland: methodological issues

  Prior 1 Prior 2 Prior 3 Prior 4 Prior 5 Prior 6
Distribution of RER       
Mean 100.2 100.7 100.4 100.1 100.4 100.0
Standard deviation 6.5 11.5 8.2 3.8 9.3 0.3
Maximum 119.6 140.7 127.6 111.3 129.5 102.1
75% Quartile 105.3 105.0 105.7 102.6 106.3 100.2
Median 98.0 97.3 97.7 99.2 97.0 100.0
25% Quartile 95.2 92.6 94.7 97.2 93.7 99.8
Minimum 80.9 63.4 75.0 89.4 72.5 98.3
90% ratio1 1.2 1.4 1.3 1.1 1.3 1.0
pD2 23.988 36.021 33.105 18.663 30.524 18.218
DIC3 3690.23 3690.27 3691.24 3691.32 3690.07 3694.96
Spatial fraction4 0.62 0.87 0.51 0.48 0.80 0.00
Percent SLAs with Geweke <0.01 for RER 89.3% 9.8% 10.5% 19.5% 21.5% 63.0%
  1. Notes:
  2. 1. The 90% ratio is calculated as the 95th percentile divided by the 5th percentile of the smoothed RER estimates.
  3. 2. pD represents the effective number of parameters in the model. Larger values indicate less smoothing of estimates.
  4. 3. DIC = Deviance Information Criterion. Smaller values (of at least 5 below) indicate a better model fit.
  5. 4. The spatial fraction estimates the relative contribution of spatial and unstructured heterogeneity, and is calculated as: Spatial fraction = θ m a r g i n a l 2 θ m a r g i n a l 2 + σ 2
  6. Where θ m a r g i n a l 2 = marginal spatial variance, σ 2= marginal variability of the unstructured random effects between areas. A value close to 1 indicates the spatial heterogeneity dominates, whereas a value close to 0 indicates the unstructured heterogeneity dominates.