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Skip search results from other journals and go to results- 666 Journal of Medical Internet Research
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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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If they and their parents agreed to participate, MDD diagnoses were confirmed by independent raters using the Beck Depression Inventory-II (BDI-II) [17] and the Children’s Depression Rating Scale-Revised (CDRS-R) [18]. Additionally, a comprehensive diagnostic assessment was performed (Table 1).
JMIR Form Res 2025;9:e58427
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Data analyses were performed using R software (version 4.2.3; R Foundation for Statistical Computing).
Ethics approval for secondary data analysis was provided by the Chinese University of Hong Kong – Survey and Behavioural Research Ethics Committee (SBRE-22-0386). Patient consent was waived since individuals were not identifiable in this study.
Figure 1 shows the flowchart of patient selection.
JMIR Public Health Surveill 2025;11:e62756
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Reference 47: Gender diversity within R & D teams: its impact on radicalness of innovation
JMIR Cancer 2025;11:e57834
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The subreddit context-based criteria identified records that were created within the r/Sublocade subreddit, a subsection of Reddit focused on discussions of Sublocade.
Dataset schema and data annotation.
J Med Internet Res 2025;27:e71245
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