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Modernizing the Staging of Parkinson Disease Using Digital Health Technology
The use of AI and ML for novel unsupervised learning pathways (eg, principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation projections) [143,144] could completely revolutionize PD care, given the novel insights that could allow for deeper understanding related to pharmacological and therapeutic interventions, prognosis, and comorbidity manifestation likelihood, among others [8].
J Med Internet Res 2025;27:e63105
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The PROMIS website also gives the mean and SD of the T-score metric (mean 50, SD 10). Power calculations for this primary hypothesis were performed using the SAS procedure PROC GLMPOWER (SAS Version 9.4) [62]. Results indicated that 282 participants after attrition would be needed for 80% power (P
With regard to power for moderation analyses, we ran a sensitivity analysis to compute the smallest effect size our study would be powered to find using 280 given 4 groups (eg, 2 study arms × 2 genders).
JMIR Res Protoc 2025;14:e64449
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The preoperative LEFS and VPM scores were compared with postoperative scores, and the magnitude of change over time was examined using paired, 1-tailed t test statistics. The analysis of covariance was used to examine the role of age, sex, and severity score on postoperative VPM scores after adjusting for the preoperative level of functional difficulty. Interactions among independent variables were explored.
JMIR Form Res 2025;9:e69001
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