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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