Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods

Table 2

Sensitivity and specificity of logistic regression and discriminant analysis models, at various cutoff points for the probability of having any asthma symptoms.

Cutoff value^*	Logistic regression			Discriminant analysis
	Sensitivity (%)	Specificity (%)	Accuracy (%)	Sensitivity (%)	Specificity (%)	Accuracy (%)
.05	94.9	8.3	29.6	100	0.8	25.1
.10	92.3	23.3	40.2	100	1.7	25.8
.25	69	69.2	69.2	92.3	19.2	37.1
.50	28.2	95.8	79.2	71.8	70	70.4
.75	5.1	100	76.8	25.6	95	78
.90	0	100	75.5	5.1	100	76.8

^∗𝑃 (asthma symptoms): values less than or equal to the cutoff value indicate that the child is not having any asthma symptoms; those greater than the cutoff value indicate that a child is having one of asthma symptoms.