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Table 1 Model fit and classification accuracy of five candidate models from the Hierarchical Bayesian Logistic Regression of MIFHH of Type 2 Diabetes

From: A Bayesian hierarchical logistic regression model of multiple informant family health histories

Terms Family Level-2 Informant Level-2
Pars DIC AUC Pars DIC AUC
Null model 3 2508.33 3 2508.33
Level-1 and Level-2 Intercepts Only 47 2411.2 0.636 130 2465.03 0.694
M1 + Degree of relationa + Same gendera 49 2388.91 0.671 132 2457.72 0.708
M2 + Informant genderb + Informant is obeseb 147 2394.01 0.686 396 2400.52 0.714
M2 + Smokesa + Uses alcohola + Healthy weighta 52 2227.54 0.747 135 2263.68 0.77
M3 + M4 150 2224.39 0.762 399 2237.7 0.78
  1. Note: adyadic (level 1) attribute; binformant (level 2) attribute