بدائل البحث:
significant gender » significant concern (توسيع البحث), significant burden (توسيع البحث)
significant forest » significant force (توسيع البحث), significant progress (توسيع البحث), significant interest (توسيع البحث)
forest regression » process regression (توسيع البحث), ols regression (توسيع البحث), tobit regression (توسيع البحث)
gender decrease » greater decrease (توسيع البحث), teer decrease (توسيع البحث)
significant gender » significant concern (توسيع البحث), significant burden (توسيع البحث)
significant forest » significant force (توسيع البحث), significant progress (توسيع البحث), significant interest (توسيع البحث)
forest regression » process regression (توسيع البحث), ols regression (توسيع البحث), tobit regression (توسيع البحث)
gender decrease » greater decrease (توسيع البحث), teer decrease (توسيع البحث)
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Results of random forest regression.
منشور في 2025"…</p><p>Methods</p><p>Using data from the 2013, 2015, 2017, 2018, and 2021 waves of the China General Social Survey (CGSS), this study applies logistic regression models and Random Forest machine learning techniques to analyze the impact of education on women’s selection of hypogamy. …"
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Forest plot from showing the significant estimates from logistic regression model for help seeking in early stage.
منشور في 2025"…<p>Forest plot from showing the significant estimates from logistic regression model for help seeking in early stage.…"
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Forest plot presenting the significant results of the multivariate logistic regression analysis for major complications and new-onset seizures.
منشور في 2025"…<p>Forest plot presenting the significant results of the multivariate logistic regression analysis for major complications and new-onset seizures.…"
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Lecturers by gender.
منشور في 2025"…Concerning gender, a clear imbalance in favour of men persists among lecturers. …"
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Posters by gender.
منشور في 2025"…Concerning gender, a clear imbalance in favour of men persists among lecturers. …"
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Significance_test_results.
منشور في 2025"…Using data from the 2018–2023 health surveys across all 50 states and the District of Columbia, the study applies significance difference analysis, random forest regression, and cluster analysis to assess the impact and interaction effects of these factors on adolescent physical activity. …"