five

Baseline characteristics of both the emergency department and intensive care population (n = 240). Statistical analysis includes both parametric and non-parametric tests: one-way ANOVA or t-test for normally distributed data, and Kruskal-Wallis test or Mann-Whitney U test for non-normally distributed data. Post hoc comparisons were conducted using the Dunn test (for Kruskal-Wallis) and Tukey test with Bonferroni adjustment (for ANOVA), when applicable. Normality was assessed using the Anderson-Darling test. Data are presented as mean (SD), n (%), or median [IQR]. Cardiovascular Disease (CVD); Chronic Obstructive Pulmonary Disease (COPD), Chronic Kidney Disease (CKD).

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Baseline_characteristics_of_both_the_emergency_department_and_intensive_care_population_n_240_Statistical_analysis_includes_both_parametric_and_non-parametric_tests_one-way_ANOVA_or_t-test_for_normally_distributed_data_and_Kruskal-Wallis_te/30055162
下载链接
链接失效反馈
官方服务:
资源简介:
Baseline characteristics of both the emergency department and intensive care population (n = 240). Statistical analysis includes both parametric and non-parametric tests: one-way ANOVA or t-test for normally distributed data, and Kruskal-Wallis test or Mann-Whitney U test for non-normally distributed data. Post hoc comparisons were conducted using the Dunn test (for Kruskal-Wallis) and Tukey test with Bonferroni adjustment (for ANOVA), when applicable. Normality was assessed using the Anderson-Darling test. Data are presented as mean (SD), n (%), or median [IQR]. Cardiovascular Disease (CVD); Chronic Obstructive Pulmonary Disease (COPD), Chronic Kidney Disease (CKD).
创建时间:
2025-09-04
二维码
社区交流群
二维码
科研交流群
商业服务