TABLE 2.
The multiple logistic regression model with the best subset of measures classifying SYN+AD vs. SYN−-AD (standardized betas).
Variable | Standardized β coefficient | Std. error | z- value | p-value |
---|---|---|---|---|
SYN+AD vs. SYN−AD (reference group) | ||||
(Intercept) | −0.75 | 0.33 | −2.28 | 0.0011 |
AoA of nouns | −0.72 | 0.38 | −1.87 | 0.042 |
Lexical density | −0.90 | 0.37 | −2.46 | 0.014 |
Education (forced in) | −0.55 | 0.36 | −1.55 | 0.12 |
Abbreviations: SYN+AD= LBD patients with autopsy/CSF evidence of significant AD co-pathology; SYN-AD= LBD patients without AD co-pathology; AoA = Age of acquisition; Lexical density = number of content words/total words.