Search Results (1 to 10 of 2948 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 860 Journal of Medical Internet Research
- 519 JMIR Research Protocols
- 334 JMIR Formative Research
- 236 JMIR mHealth and uHealth
- 129 JMIR Public Health and Surveillance
- 108 JMIR Medical Informatics
- 107 Online Journal of Public Health Informatics
- 95 JMIR Human Factors
- 90 JMIR Mental Health
- 55 JMIR Cancer
- 54 JMIR Pediatrics and Parenting
- 47 JMIR Serious Games
- 40 JMIR Aging
- 37 JMIR Dermatology
- 29 JMIR Medical Education
- 26 Iproceedings
- 26 JMIR Cardio
- 26 JMIR Diabetes
- 23 Interactive Journal of Medical Research
- 18 JMIR Rehabilitation and Assistive Technologies
- 17 JMIR Infodemiology
- 16 JMIR Perioperative Medicine
- 12 JMIR AI
- 12 JMIRx Med
- 10 Journal of Participatory Medicine
- 6 JMIR Nursing
- 5 JMIR Biomedical Engineering
- 5 JMIR Neurotechnology
- 2 JMIR Bioinformatics and Biotechnology
- 2 JMIR XR and Spatial Computing (JMXR)
- 1 JMIRx Bio
- 1 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Transfer Hub (manuscript eXchange)
- 0 Asian/Pacific Island Nursing Journal
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
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
Download Citation: END BibTex RIS
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
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Statistical analyses were performed using R (version 4.2.1; The R Foundation) or SPSS Statistics (version 29.0.1.0; IBM Corp). Likert plots were generated using the R library “Likert” (version 1.3.5). The distribution of Likert scale questionnaire scores ranged from 1=I fully agree to 5=I do not agree at all.
Between October 2021 and December 2022, 136 patients with breast cancer were screened for eligibility. Of the 132 eligible patients, 49 patients declined participation.
JMIR Cancer 2025;11:e64083
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
A power analysis in R (R Core Team) [37] (script available on request) showed that a sample size of n=66 (33 in the direct group and 33 in the WLCG) is sufficient to reach a required power of at least 80% when assuming Cohen d=0.5. Regarding trauma-focused therapies, we expected a dropout rate of around 25% [15-17], implying that we would need at least 88 (ie, 66 divided by 0.75) participants. To ensure sufficient statistical power, we aimed for a total sample size of 100.
JMIR Res Protoc 2025;14:e66115
Download Citation: END BibTex RIS