Pearson's chi-square test


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Pearson's chi-square test

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Pearson's Chi-square test was used to compare discrete variables among these groups and GOLD stages.
Pearson's chi-square test was used to compare the difference of depressive features between the elderly with different characteristics.
Paired t-test and Pearson's chi-square test were used to compare clinical parameters between groups.
The correlation between expression of VEGF and CD34 and histology or clinical features was analyzed using a 2 x 2 contingency table and Pearson's Chi-square test, with the combing indicator of perioperative hemorrhage risk analyzed by logistic regression and receiver operating characteristic (ROC) curve.
3 (11-88) (a) Pearson's chi-square test, (b) Kruskal-Wallis H test OSAS: Obstructive sleep apnea syndrome, n: Number of patients, BMI: Body mass index, AHI: Apnea-hypopnea index, mS[O.
Pearson's Chi-square test was used to compare the responses of male and female students.
Distributions of qualitative variables were compared by means of the Pearson's chi-square test of Fischer's exact test.
These results were used as base for Pearson's chi-square test.
The data were statistically analyzed by using the Pearson's Chi-square test / Fisher exact test with SPSS software (SPSS-18).
Pearson's chi-square test and Mann-Whitney U test were used to identify significant differences across patients and healthy donors, patients before treatment and after treatment.
Categorical variables were assessed using Pearson's chi-square test and quantitative variables using the Mann-Whitney U-test and Student's t-test.
To assess the correlation between variables, we performed the Pearson's chi-square test, Spearman's Rank Correlation Test, linear regression and One-Way ANOVA.
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