Table 8. Ultimate generalized linear logistic regression model (using step-wise AIC selection) illustrates that some UPDRS summaries (Parts II and III) along with Age play roles in explaining the diagnosis of participants.
| Estimate | Std.Dev. | Z | P(>|Z|) | |
|---|---|---|---|---|
| (Intercept) | 21.013 | 1796.808 | 0.01 | 0.9907 |
| L_caudate_Volume | 1.574 | 0.633 | 2.49 | 0.0129 |
| R_caudate_ComputeArea | -1.692 | 0.629 | -2.69 | 0.0072 |
| Sex | 0.993 | 0.627 | 1.58 | 0.1134 |
| Age | -1.079 | 0.355 | -3.04 | 0.0024 |
| UPDRS_Part_I_Summary_Score_Baseline | -0.835 | 0.485 | -1.72 | 0.0848 |
| UPDRS_Part_II_Patient_Questionnaire_Summary_Score_Baseline | 7.92 | 1.791 | 4.42 | 9.80E-06 |
| UPDRS_Part_III_Summary_Score_Baseline | 5.25 | 0.901 | 5.83 | 5.70E-09 |
| COGSTATEMild Cognitive Impairment (PD-MCI) | -8.62 | 1796.809 | 0 | 0.9962 |
| COGSTATENormal Cognition (PD-NC) | -13.982 | 1796.807 | -0.01 | 0.9938 |
| FNCDTCOGYes | -6.49 | 2.278 | -2.85 | 0.0044 |