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There was no significant effect of the study phase or incentives on any of the self-reported drinking outcomes, for the average number of days per week in the last month involving alcohol consumption (F2, 232=0.294, P=.75, η2=.003), typical weekend evening drink consumption in the last month (F2, 165=0.662, P=.52, η2=.008), the maximum number of drinks consumed in the last month (F2, 175=0.005, P=.99, η2=.00), or protective behavioral strategies (F2, 232=1.469, P=.23, η2=.013).
JMIR Hum Factors 2025;12:e69873
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The p-values of the AUROC scores are presented in Multimedia Appendix 1. As P
Data cleaning and cohort selection with descriptive analysis were conducted using Stata version 16.1 (Stata Corp). We used Python version 3.8.10, along with the Monai framework version 1.2.0 (NVIDIA) and Pytorch version 2.0.0 (Facebook) to develop the deep learning models. Additionally, the AUROC score and its 95% CI were calculated using Fast De Long implementation from VMAF (Video Multimethod Assessment Fusion; Netflix) [43].
JMIR AI 2025;4:e67144
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We performed all analyses using STATA (v.17.1, Stata Corp LP), with statistical significance set at a P value below 5%.
Participant characteristics (N=380) stratified by recruitment method, social media (n=107), and nonsocial media (n=273) are presented in Table 1. Participants recruited through social media had a mean age of 47.27 (SD 1.02) years, whereas those in the nonsocial media group had a mean age of 47.38 (SD 0.73) years (P=.93).
JMIR Form Res 2025;9:e58916
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We examined all contexts along the data pipeline, from population-level breast cancer screening to diagnostic biopsies and surgical treatments, clinical pathology, and specimen accessioning through the biobanking platform, where it may be stored for future use in –80 °C freezers or distributed fresh for next-generation biobanking applications such as patient-derived organoids, multi-omics, and high-throughput testing.
JMIR Bioinform Biotech 2025;6:e70463
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At the end of each step, data were shared with an experienced supervisor (CV-C) for reflecting on how the data were initially coded and consider things that might have been overlooked. MAXQDA 2022 (VERBI Gmb H) was used for the analysis.
To ensure a robust analytical process, we considered key aspects of quality and rigor.
JMIR Hum Factors 2025;12:e59405
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We observed stability in BMI across days (r>0.95; P
The Eating Disorder Examination (EDE) 17.0 D [83] was selected due to previous evidence of good discriminant validity [84-87], IRR (0.83 to 0.99) [88,89], and good internal consistency of the restraint and body image subscales (Cronbach α>0.70) [90].
JMIR Res Protoc 2025;14:e66554
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Within 3 to 5 days of the participant receiving the Fitbit tracker, one of the study coordinators (RH, OS, and SD-C) contacted the participant to confirm that they were able to use the device. Participants received an introduction to the Fitbit tracker before undergoing CRS-HIPEC. Recruitment occurred from December 2022 to July 2023.
Dietitians reviewed the participants’ food intake and nutritional assessments and conducted 6 biweekly telehealth or in-person counseling sessions with them.
JMIR Cancer 2025;11:e67108
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deal: samen werken aan duurzame zorg [Article in Dutch](https://www.rvo.nl/sites/default/files/2024-12/C-
J Med Internet Res 2025;27:e67538
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Results indicated that 282 participants after attrition would be needed for 80% power (P
With regard to power for moderation analyses, we ran a sensitivity analysis to compute the smallest effect size our study would be powered to find using 280 given 4 groups (eg, 2 study arms × 2 genders). With N=280, G*Power calculations [63] show our study would have a 95% chance (with P
Patients will complete surveys at baseline, 6, 12, and 18 months.
JMIR Res Protoc 2025;14:e64449
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