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Table 6 Multiple logistic regression analysis on confounding and n-gram features from the PrADG and HEG

From: Predicting probable Alzheimer’s disease using linguistic deficits and biomarkers

Features

β

S.E

Wald X 2

p

OR

95% CI of OR

Age

-0.152

0.040

14.56

<0.000*

0.86

0.79 to 0.93

the window

1.946

0.519

14.08

<0.000*

7.00

2.53 to 19.35

the mother

1.526

0.674

5.13

0.024*

4.60

1.23 to 17.23

be quiet

4.263

1.299

10.77

0.001*

71.00

5.57 to 905.46

girl is

1.905

0.541

12.40

0.000*

6.72

2.33 to 19.39

this is

-2.967

1.256

5.58

0.018*

0.05

0.00 to 0.60

Constant

7.742

2.512

9.50

0.002*

2302.57

-

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