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. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Appl Neuropsychol Adult. 2020 Dec 30;29(5):1250–1257. doi: 10.1080/23279095.2020.1864733

Table 4.

Multiple Logistic Regression Using All Speech Features Jointly to Predict MCI Status.

β Wald Exp(β) 95% Confidence Interval
for Exp(β)
Lower
Bound
Upper
Bound
Intercept 81.45 1.33
Total words 0.00 0.00 1.00 0.98 1.02
Filler words 6.99 4.28 1089.78 1.45 821255.69
Empty words −3.38 1.60 0.03 0.00 6.37
Definite articles 4.88 4.01 131.37 1.11 15572.28
Indefinite articles 3.43 1.95 30.92 0.25 3841.58
Pronouns −0.01 0.00 0.99 0.13 7.28
Nouns −2.70 4.30 0.07 0.01 0.86
Verbs 2.44 4.64 11.42 1.25 104.65
Determiners −2.83 1.45 0.06 0.00 5.88
Content words 0.11 0.01 1.11 0.19 6.64
Lexical frequency −0.78 0.41 0.46 0.04 5.05
Type-token ratio −48.52 0.90 8.49 x 10−22 3.00 x 10−65 2.40 x 10+22
Honoré’s statistic −0.55 1.78 0.58 0.26 1.30
Brunet’s index −5.17 1.81 0.01 3.03 x 10−06 10.65
Speech rate 1.32 1.28 3.74 0.38 36.66
Filler rate −45.83 2.53 1.25 x 10−20 3.68 x 10−45 42149.03