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Skip search results from other journals and go to results- 535 Journal of Medical Internet Research
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P values
A sample size of 342 participants (n=171 per group) will have 90% power to detect a difference in change between arms of at least 5% of body weight at 12 months between groups, using a conservative estimate of SD, at 90% power and 5% level of significance. Assuming 20% (n=86) of participants are not followed up, this would necessitate 430 (215 in each group) participants to be recruited.
JMIR Res Protoc 2025;14:e64735
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The mean (SD) intent for surgery scores before compared to after SRT were 1.29 (0.53) and 1.14 (0.35), respectively (mean difference 0.15 [P=.006]; Table 3). Participants with “No Intent” for spinal surgery pre- versus postuse of SRT (42/56 versus 48/56, respectively) corresponded to an absolute risk reduction of 11% and a number needed to treat of 9 to potentially avert 1 spinal fusion (1 divided by 0.11).
JMIR Form Res 2025;9:e66889
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Applications of Self-Driving Vehicles in an Aging Population
JMIR Form Res 2025;9:e66180
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Can Artificial Intelligence Diagnose Knee Osteoarthritis?
The binomial test, where the null hypothesis assumed the model’s accuracy was 50% or less, indicated that the model was statistically better than random chance (P=.02). Additionally, the χ2 test (P
Sensitivity and specificity of Chat-GPT4o in analyzing knee osteoarthritis X-rays.
The model had difficulty distinguishing between “not arthritis” and “arthritis.”
JMIR Biomed Eng 2025;10:e67481
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Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis
We conducted 2 different approaches, trim-and-fill, which corrects for publication bias in small samples, and 3-parameter selection models which explicitly model the proportion of studies below a p-threshold. We considered applying p-curve approaches, but they require at least 3 significant findings which was not the case for multiple models.
A PRISMA flow diagram is shown in Figure 2 (PRISMA checklist provided in Multimedia Appendix 2).
J Med Internet Res 2025;27:e68204
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