Numerical variables were expressed as mean (±SD) or median (25–75%), and categorical variables were represented as frequency and percentage. Spearman correlation analysis was used to detect the correlation between meteorological parameters and air pollutants. We adopted conditional logistic regression analysis to explore the effect of daily meteorological parameters and their fluctuations on ICH occurrence. The influence of monthly mean TEM was also studied in cold and warm months, separately. Results were reported as odds ratios (OR) and 95% confidence intervals (CI). We applied R software (4.0.3) and GraphPad (9.0.0) for statistical analysis and drawing, and the difference was statistically significant when P<0.05.
R software 4.0.3
Manufactured by GraphPad
R software (4.0.3) is a free, open-source programming language and software environment for statistical computing and graphics. It is widely used in various fields for data analysis, visualization, and statistical modeling.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using r software 4.0.3
1
Meteorological Factors and Intracerebral Hemorrhage
2
Comprehensive Fibrosis Analysis Protocol
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All analyses in this study were performed with R software 4.0.3 and GraphPad Prism 9.0. The t-test and Mann-Whitney U test were applied for comparisons between two groups. Kaplan–Meier method with log-rank test was used for survival analysis. Time-dependent ROC curves were applied to assess the accuracy of the fibrosis score model. Univariate and multivariate Cox regression analysis were used to determine the independent prognostic values of fibrosis score and key FRGs. The Pearson correlation analysis was used to analyze the correlation coefficient between two variables. P value < 0.05 was considered statistically significant.
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