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Correlation coefficients (r) and P values were reported to assess statistical significance.
Regression results were reported as standardized beta coefficients (β) along with 95% CIs, P values, and adjusted R² values to assess statistical significance and explanatory power. All analyses were conducted using Python programming tools (version 3.11; Python Software Foundation).
Interact J Med Res 2025;14:e70098
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How Medical Students Manage Depression, Anxiety, and Stress: A Cross-Sectional Study
JMIR Form Res 2025;9:e74218
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Data were analyzed in the R statistical environment using JASP (Jeffrey’s Amazing Statistics Program). We summarize the reach and knowledge questions using frequencies and percentages. We calculated means to describe behavioral capability and satisfaction. Pre- and posttest scores for behavioral capability were assessed for change using paired samples t tests with Cohen d effect sizes.
JMIR Rehabil Assist Technol 2025;12:e64666
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The results showed a moderate positive correlation (r=0.64) across all extracted features, which was statistically significant (P
Correlation between Chat GPT Features and IDL Features.
JMIR AI 2025;4:e68144
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All statistical analyses were performed using R software (version 4.4.1; R Foundation for Statistical Computing). Paired t tests were used to evaluate the significance of differences in absolute Co P displacement measures before and after illusion stages for different illusion types.
JMIR Serious Games 2025;13:e70376
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