Univariate survival curves were estimated using the Kaplan–Meier method, comparison of survival rates among groups was conducted using the log-rank test, and comparison of categorical variables was performed using the Chi Square test. The level of significance was set at p < 0.05. All analyses were performed using SAS statistical software version 8.2 (SAS Institute, Cary, NC, USA) or the SPSS Medical Pack for Windows version 10.0 (SPSS, Inc., Chicago, IL, USA).
Sas statistical software version 8
Manufactured by SAS Institute
Sourced in United States
SAS statistical software version 8.02 is a comprehensive data analysis and management platform. It provides a wide range of statistical analysis tools and functions to help users analyze, model, and interpret data. The software is designed to be user-friendly and offers a flexible and powerful programming environment for statistical computations and data manipulation.
Automatically generated - may contain errors
Lab products found in correlation
5 protocols using sas statistical software version 8
1
Survival Analysis of Treatment Outcomes
2
Tobacco Leaf ABA Content Analysis
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Except for measurement of ABA content in the PtNCED1 transiently expressed tobacco leaves in which an unpaired Student’s t-test was applied, all other statistical analyses were carried out with SAS statistical software version 8.2 (SAS Institute, Cary, NC, United States). The data were analyzed using analysis of variance (ANOVA) in combination with Fisher’s protected least significant difference test at P < 0.05. Data were arsine-transformed before performing ANOVA.
3
Statistical Analysis of Atrial Fibrillation Recurrence
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Continuous data are presented as mean ± standard deviation (SD) and were compared using the Mann–Whitney test or Student’s t test. Categorical variables were compared using either the chi-square or Fisher exact tests. A p value of less than 0.05 was considered statistically significant, whereas the confidence intervals (CI) were 95 %. The analysis of variance was used to compare multiple variables. Multivariate logistic regression analysis was performed to identify the independent risk factors of AF recurrence. Statistical analyses were performed using SAS statistical software version 8.02 (SAS Institute, Inc., Cary, NC, USA).
4
Assessing OSA Severity and Stroke Risk
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Data were tested for normality using the Kolmogorov–Smirnov test. Continuous data are presented as mean and 95 % confidence intervals (CI), with statistical comparisons performed with the Mann–Whitney test or Student’s t test. Categorical variable comparison was made using either the chi-square or Fisher exact tests. A one-way analysis of variance was used to assess the impact of OSA severity according to AHI on the CHADS2 and CHA2DS2-VASc scores. A p value of less than 0.05 was considered statistically significant, whereas the confidence intervals were 95 %. All statistical calculations were performed using commercially available SAS statistical software version 8.02 (SAS Institute, Inc., Cary, NC, USA).
5
Statistical Analysis of Research Data
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Continuous data are presented as mean ± standard deviation (SD) and were compared using either the Mann-Whitney or Student's t-test depending on the normal distribution, tested using the Kolmogorov-Smirnov test. Categorical variables are presented as the number of patients (percentage of the population), and their comparison was made using either the χ 2 or Fisher's exact test. A p value of less than 0.05 was considered statistically significant. All analyses were performed using SAS statistical software version 8.02 (SAS Institute, Inc., Cary, NC, USA).
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