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Table 3 SCM modelling: results by gender

From: Shared component modelling as an alternative to assess geographical variations in medical practice: gender inequalities in hospital admissions for chronic diseases

  Men Women
Fraction of total variations   
% shared component (λ) 99.32% (97.45 to 99.82) 94.24%(91.68 to 96.37)
% specific component 0.68%(0.17 to 2.55) 5.76%(3.63 to 8.32)
   Unstructured (ϕ 1 , ϕ 2 ) 0.68%(0.17 to 2.55) 1.61%(0.23 to 4.38)
   Spatially structured (β)   4.15%(1.73 to 6.70)
Variance Components   
   Specific unstructured ( σ ϕ 2 ) 0.0005 (0.0001 to 0.0019) 0.0015 (0.0002 to 0.0039)
   Common spatial ( σ χ 2 ) 0.0810 (0.0158 to 0.0865)
   Female specific spatial ( σ β 2 ) 0.0038 (0.0016 to 0.0062)
   Delta coefficient (δ) 0.967 (0.939 to 0.997)
Model fit comparison criteria  
DIC (pD) 3845.7 (pD = 301.21)
  1. DIC: Deviance Information Criterion