Barely Significant
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near statistical significance

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In the literature

near statistical significanceP = 0.0711.4× alpha
Three main factors influencing pre-discharge care burden were identified via stepwise regression: postoperative nutritional disorders ( β = 0.213, P = 0.071, near statistical significance), current employment status of caregivers ( β = 0.264, P = 0.022), and length of hospital stay ( β = 0.256, P = 0.028).
With respect to statistical treatment, while no independent variables violated the proportional odds assumption in our ordinal logistic regression models, the results of the Brant tests and the near statistical significance of the diagnostic source within these results suggest that multinomial logistic regression modeling might be beneficial for future analyses.
The only associations near statistical significance were that postmenopausal women with A 1 / A 1 (wild-type) genotype had an increased risk of breast cancer if they had ever used hormone replacement therapy (OR 2.40, 95% CI 1.0 to 5.7; P = 0.05) and if they had menopause after age 47 years (OR 2.59, 95% CI 1.0 to 7.0; P = 0.06).
In the subgroup analysis of patient samples only (excluding subjects for health examination), the OR of detection of anti-nucleosome/histone/dsDNA using AC-1 in the original data was 1.36 (95% confidence interval, CI 0.33–5.61, p -value = 0.67); furthermore, the OR of detection of anti-nucleosome/histone/dsDNA using AC-1 in the re-evaluated data increased to 5.43 (95% CI 1.00–29.61, p -value = 0.05), which was near statistical significance.