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Table 2 Significant results for the linear mixed effects models

From: Data-driven CSF biomarker profiling: imaging and clinical outcomes in a cohort at risk of Alzheimer’s disease

 

Predictor

β

p

CI

\({{{\varvec{\eta}}}_{{\varvec{\rho}}}}^{2}\)

TMT (B–A)

Education

–.31

 < .001

[–.38, –.19]

.12

 

Cluster (C)

-

.001

-

.04

 

C2

.1

 < .001

[–.18, .37]

-

 

C3

–.07

.04

[–.29, .15]

-

 

Time

.36

.002

[.13, .60]

.001

 

Time*Cluster

-

.001

-

.04

 

C2*Time

–.44

 < .001

[–.69, –.20]

-

 

C3*Time

–.22

.035

[–.42, –.02]

-

TMT (B A)

Education

–.28

 < .001

[–.38, –.19]

.06

(w/Aβ–positivity

Cluster (C)

-

.002

-

.04

included in model)

C2

.07

 < .001

[–.19, .37]

-

 

C3

–.1

.039

[–.26, .18]

-

 

Time

.37

.002

[.14, .60]

.001

 

Time*Cluster

-

.001

-

.04

 

C2*Time

–.45

 < .001

[–.69, –.20]

-

 

C3*Time

–.22

.033

[–.42, –.02]

-

  1. Model parameters for the TMT (B–A) task. Results are presented for models with and without adjusting for Aβ-positivity status (lower and upper panel, respectively). The C1 cluster is the reference group
  2.  Beta-amyloid, CI 95% confidence interval, pp-value (uncorrected), TMT Trail Making Test, β Standardized coefficient beta, \({{\eta }_{\rho }}^{2}\) partial eta-squared effect size