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Table 2 Measures of model fit and estimates of geographical variations in all-cause and colorectal cancer-specific survival in Queensland, 1997–2007

From: Geographic remoteness, area-level socioeconomic disadvantage and inequalities in colorectal cancer survival in Queensland: a multilevel analysis

Model

description1

DIC2

Area-variance (95% CrI)3

p value

% reduction variance4

MOR (95% CrI)5

 

All-cause survival

     

1

Null (no explanatory variables)

57769.71

0.025 (0.014, 0.039)

<0.001

-

1.16 (1.13, 1.21)

2

Individual-level covariates5

46072.45

0.011 (0.006, 0.018)

0.042

56

1.10 (1.08, 1.14)

3

Individual-level covariates and area-remoteness

46058.44

0.007 (0.003, 0.014)

0.101

72

1.08 (1.05, 1.12)

4

Individual-level covariates and area-disadvantage

46054.03

0.006 (0.001, 0.014)

0.078

76

1.08 (1.03, 1.12)

5

Individual- and both area-level covariates

46046.57

0.005 (0.001, 0.012)

0.118

80

1.07 (1.03, 1.11)

6

All covariates with area-level interactions

46051.12

0.005 (0.001, 0.012)

0.128

80

1.07 (1.03, 1.11)

 

Colorectal cancer-specific survival

     

7

Null (no explanatory variables)

48609.89

0.021 (0.011, 0.034)

0.001

-

1.15 (1.10, 1.19)

8

Individual -level covariates

37013.72

0.008 (0.003, 0.012)

0.044

61

1.09 (1.05, 1.11)

9

Individual-level covariates and area-remoteness

36987.44

0.003 (0.001, 0.007)

0.231

86

1.05 (1.02, 1.08)

10

Individual-level covariates and area-disadvantage

36995.14

0.004 (0.001, 0.011)

0.173

81

1.06 (1.02, 1.10)

11

Individual- and both area-level covariates

36979.49

0.002 (0.001, 0.008)

0.231

91

1.04 (1.02, 1.09)

12

All covariates with area-level interactions

36993.31

0.003 (0.001, 0.011)

0.298

86

1.05 (1.02, 1.10)

  1. CrI: credible interval for posterior distributions from Markov Chain Monte Carlo multilevel models.
  2. 1 All except null models adjusted for time (years after diagnosis), patient age at diagnosis, sex, occupation, marital and Indigenous status, cancer stage, site, differentiation and surgical margins. Models 3 and 9 also adjusted for area remoteness; Models 4 and 10 also adjusted for area disadvantage; Models 5 and 11 also adjusted for area remoteness and area disadvantage; Models 6 and 12 include area-level interactions and all explanatory factors in Models 5 or 11 respectively.
  3. 2 DIC Deviance Information criterion. Model with a smaller DIC (Difference ≥ 7 units) is better supported by the data while those with difference of 3–5 units can be weakly distinguished.
  4. 3 The residual area-level variance from the multilevel models.
  5. 4 The percentage reduction in variance reflects the change in area-level variance relative to the null model.
  6. 5 MOR (median odds ratio) translate the area-level variance to the odds ratio scale. MOR is the median value of the distribution of the odds ratio between an individual in the area at highest risk and an individual in the area at lowest risk when randomly selecting two individuals from two different areas. In absence of variation the MOR is 1 with a larger value indicating greater geographical variations.