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To estimate the time to events during the 12-month follow-up period from enrollment to the occurrence of events, study completion, dropout, and death, we used Kaplan-Meier estimates and compared them between the IG and the CG using the log-rank test. To compare the primary and secondary endpoints between the IG and the CG, we used Cox proportional hazards regression, and results were presented as hazard ratios (HRs) with 95% CIs.
JMIR Public Health Surveill 2025;11:e72233
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Beyond Benchmarks: Evaluating Generalist Medical Artificial Intelligence With Psychometrics
J Med Internet Res 2025;27:e70901
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Multidisciplinary Oncology Education Among Postgraduate Trainees: Systematic Review
David et al [25], Eid et al [24], and Maggiore et al [26] assessed gaps in geriatric oncology education among hematology residents and fellows, hematology oncology fellows, and geriatrics fellows, respectively. Morris et al [20,27] assessed gaps in the radiation oncology training curriculum. Park et al [18] and Wilson et al [19] assessed the quality of general surgery residency training in breast cancer care.
JMIR Med Educ 2025;11:e63655
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The event-time distributions are described by the Kaplan-Meier method [24] with pointwise 95% confidence bounds [25] (18, “log-log”). Relevant percentiles (eg, quartiles) with 95% CIs are derived. Generally, quantitative variables are summarized by mean, SD, and percentiles (0, 25, 50, 75, 100), and qualitative variables by absolute (ie, count) and relative (ie, percentage) frequencies. Extreme values (“outliers”) are flagged and listed.
JMIR Res Protoc 2025;14:e60675
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