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Table 1 Criteria for statistical interpretation

From: An examination of factors influencing the choice of therapy for patients with coronary artery disease

  Statistic   Interpretation
Strength of association ω2 ≈ 0.01 small association
   ≈ 0.06 medium association
   ≈ 0.14 large association
  φc < 0.3 little or no association
   0.3 to 0.7 weak association
   0.7 to 1.0 strong association
Regression model evaluation deviance statistic - significance of unexplained (residual) variance in the dependent variable; thus is desired to be non-significant
  Nagelkerke's R2 - the association between predictor variables and the outcome variable. Statistic ranges from 0 to 1 with higher scores indicating stronger associations.
  % of correctly classified cases - calculated at the start of the procedure and at the end of the analysis using the cut-off point of 0.5 for the estimated probability of the outcome variable
  sensitivity - the proportion of true positives or the proportion of cases correctly identified by the test as meeting the response category
  specificity - the proportion of true negatives or the proportion of cases correctly identified by the test as meeting the reference category
  c statistic - varies from 0.5 (the models predictions are no better than chance) to 1 (the model always assigns the higher probabilities to correct cases than incorrect ones)