Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers

BMC Bioinformatics

Table 2 Multiple logistic regression analysis on confounding, syntactic, and lexical features from the PrADG and HEG

Features	β	S.E	Wald X ²	p	OR	95% CI or OR
Age	-0.095	0.030	9.70	0.002*	0.91	0.86 to 0.96
Reduced Sentences	0.185	0.083	5.02	0.025*	1.20	1.02 to 1.41
MLU	0.300	0.142	4.49	0.034*	1.35	1.02 to 1.78
Trailing off	-1.300	0.437	8.85	0.003*	0.27	0.12 to 0.64
Constant	2.319	2.108	1.21	0.271	10.17	-

*PrADG(N=99); HEG(N=99); S.E Standard Error, OR Odds Ratio or Exp(β), CI Confidence Interval

ISSN: 1471-2105