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The PMIS (Pearson r=−0.76; P
As we examined the sensitivity and specificity data to choose cut scores, we chose to favor sensitivity to minimize missing individuals with true disease in this sample of patients considered high risk because of their cognitive concerns. The cut scores for a positive result on the 5-Cog components were as follows: PMIS ≤6 (range 0-8), Symbol Match ≤25 (range 0-65), and s MCR >5 (range 0-7).
JMIR Res Protoc 2025;14:e60471
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The study team will use standard statistical packages (eg, R [R Foundation for Statistical Computing]) to conduct data analysis. Descriptive statistics (means, SD, frequency distributions, and proportions) will be used to summarize baseline patient characteristics, clinical and behavioral outcomes, and other quantitative outcome measures and responses to closed-ended survey items.
JMIR Res Protoc 2025;14:e62916
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The application of this mapping to the data was performed using R version 4.3.2 (R Foundation for Statistical Computing). The full list of diagnosis names corresponding to ADRD diagnosis categories is provided in Multimedia Appendix 1.
To assess associations between clusters and sex, as well as ADRD diagnoses, we used the chi-square test.
JMIR Aging 2025;8:e65178
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The multilevel modeling and restricted maximum likelihood estimation method will be used in R (R Foundation for Statistical Computing) [40]. This method can deal with dropouts and missing data without excluding incomplete cases. In addition to fixed effects, random effects will be estimated.
Several covariates will be considered for inclusion: age, biological sex, race and ethnicity, and educational attainment.
JMIR Res Protoc 2025;14:e63498
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