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Skip search results from other journals and go to results- 634 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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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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We conducted all statistical analyses with RStudio (version 2022.07.0; R Foundation). Continuous variables were normally distributed. The first set of analyses examined relationships between baseline participant characteristics and baseline CSE Scale score.
JMIR Form Res 2025;9:e60676
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Statistical results were prepared using SAS (version 9.4; SAS Institute) and R (version 4.0; R Foundation for Statistical Computing). FGDs were audiotaped, transcribed verbatim, and read several times. A codebook was subsequently developed for deductive coding based on the interview guide and focused on responses related to selected implementation outcomes of reach, appropriateness, effectiveness, and penetration. The codebook was developed by a single team member (ASB) and reviewed with the full team.
J Med Internet Res 2025;27:e66351
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study period.
c CCAPS: Counseling Center Assessment of Psychological Symptoms.
d CGI-S: Clinical Global Impressions–Severity.
e CGI-I: Clinical Global Impressions–Improvement.
f AE: adverse event.
g SAE: serious adverse event.
h DERS: Difficulties in Emotion Regulation Scale.
i DBT-WCCL: Dialectical Behavior Therapy Ways of Coping Checklist.
j AAQ: Acceptance and Action Questionnaire.
k SCS: Suicide Cognitions Scale.
l OHS: Optimism Hope Scale.
m PAI-BOR: Personality Assessment Inventory–Borderline Features Scale.
n LSC-R:
JMIR Res Protoc 2025;14:e68441
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To understand the internal structure of ACE-X for adult participants, we began by taking an exploratory approach by fitting a network model using the psychonetrics package in R (R Foundation for Statistical Computing). We fit the partial correlation network model using full information maximum likelihood estimation to handle missing values and then pruned edge weights that failed to reach statistical significance (P>.05).
J Med Internet Res 2025;27:e60041
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