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Categorical variables will be reported as frequencies (percentages) and compared using chi-square tests or Fisher exact tests where appropriate.
To account for individual dietary variability, including meals consumed outside campus, several adjustments will be made.
JMIR Res Protoc 2025;14:e69610
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Univariate analysis was performed using 2-tailed t tests and chi-square tests to identify significant differences between the p CR and non-p CR groups. Features that exhibited statistical significance (P
The performance of the model was evaluated using accuracy and the area under the receiver operating characteristic curve (AUROC).
JMIR Cancer 2025;11:e64685
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For example, Huang et al [19] successfully identified the liver-gallbladder dampness-heat syndrome in patients with breast cancer using a dataset based on the prescriptions of TCM clinical practitioners. Zhuo et al [20] effectively differentiated Qi deficiency blood stasis syndrome and phlegm stasis in channels syndrome in patients with stroke through artificial intelligence–assisted retinal feature analysis.
JMIR Med Inform 2025;13:e64725
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To determine if group differences are present after randomization, descriptive statistics of baseline characteristics (eg, age, cancer severity, and time since treatment) will be generated, and the treatment and control groups will be compared with t tests for continuous variables and chi-square tests for categorical variables.
JMIR Res Protoc 2025;14:e62712
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Categorical data were compared using the chi-square test or Fisher exact test, where appropriate. For continuous data, the Student t test or Mann‒Whitney U test was used. A 2-sided P value of
The study population consisted of 461 patients who underwent radical gastrectomy. The proportion of patients with HER2 overexpression, PD-L1 positive status (CPS≥1), and MSI-H status was 5.4% (25/461), 24.1% (111/461), and 5.6% (26/461), respectively.
JMIR Cancer 2025;11:e67379
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