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Table 1 Results of Jennrich’s Test of differences in Correlation matrices applied to each group of cancers in different remoteness regions

From: Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics

Group

Model

Test Statistic \(^{\mathrm{a}}\)

P value

Most common cancers

1(a)

114.74

< 0.0001

1(b)

155.91

< 0.0001

1(c)

111.42

< 0.0001

2

282.87

< 0.0001

3

250.55

< 0.0001

Less common and rare cancers

4

0.65

0.7225

5

2.68

0.8481

6

44.31

< 0.0001

7

384.79

< 0.0001

Smoking related cancers

8(a)

767.74

< 0.0001

8(b)

226.35

< 0.0001

8(c)

1005.75

< 0.0001

  1. \(^{\mathrm{a}}\) Null Hypothesis: Equality of correlation matrices in major cities, regional and remote areas for each group of cancers are tested