Table 4.

Efficacy of final models to predict remission and non-response.

c	δ1 < a	δ1 < b	PPV	Sensitivity	NPV	Specificity
0.5	0.2	2.9	0.706	0.333	0.778	0.250

c = minimum probability threshold needed to make a decision

δ₁ = ratio of P(remission) to P(substantial nonresponse)

a = largest ratio value for which we would not call someone a substantial nonresponder

b = smallest ratio value for which we would not call someone a remitter

$$\mathit{\text{PPV}}=\frac{\mathit{\text{\# True Remitters Predicted as Remitters}}}{\mathit{\text{Total \# Predicted Remitters}}}$$

$$\mathit{\text{Sensitivity}}=\frac{\mathit{\text{\# True Remitters Predicted as Remitters}}}{\mathit{\text{Total \# True Remitters}}}$$

$$\mathit{\text{NPV}}=\frac{\mathit{\text{\# True NonResponders Predicted as NonResponders}}}{\mathit{\text{Total \# Predicted Non – Responders}}}$$

$$\mathit{\text{Specificity}}=\frac{\mathit{\text{\# True NonResponders Predicted as NonResponders}}}{\mathit{\text{Total \# True NonResponders}}}$$