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The number, frequency, and percentage of treatment strategies used in the included interventions were summarized using R (version 4.3.2; R Core Team). Plots summarizing the frequencies and overlap of treatment strategies were generated using the “ggplot2” [39] and “pheatmap” [40] packages in R.
JMIR Ment Health 2025;12:e67670
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Analyses were done with R (v4.2.2, R Foundation for Statistical Computing).
This study was approved by the University of Otago Human Ethics Committee (reference: HD22/064). Participants were users of a commercially available app who consented to their anonymized data being used for research purposes through the app’s privacy policy. All data were deidentified before analysis. No compensation was provided for participation.
JMIR Form Res 2025;9:e65368
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We used R (version 12.1.402; R Foundation for Statistical Computing [34]) and Microsoft Excel (Microsoft Corp) for data analysis and matching. The boundaries of the final complete sociocentric-like fuzzy network were only those participants enrolled in the N2 cohort study and did not include those individuals that participants may have named as being in their social networks.
JMIR Public Health Surveill 2025;11:e64497
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All analyses will be conducted in R (R Core Team, 2021).
For the evaluation of secondary outcomes, we will use the statistical methods described above to evaluate both the immediate and medium-term effects of the SAS video intervention. The methods include, but are not limited to, t tests for independent groups, matched t tests for dependent groups, repeated measure ANOVAs, and multilevel regression models.
JMIR Res Protoc 2025;14:e73382
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The models include random forest (RF) [36], Cat Boost (CB) [37], light gradient-boosting machine (Light GBM) [38], extreme gradient boosting (XGBoost) [39], k-nearest neighbor (KNN) [40], and support vector machines (SVM) [41] as blackbox models, and one inherently interpretable glassbox model explainable boosting machines (EBMs) [42]. More descriptions of these selected models are provided in Section I in Multimedia Appendix 1.
J Med Internet Res 2025;27:e68030
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