Sas system version 6

Manufactured by SAS Institute

Sourced in United States

The SAS system, version 6.12, is a software suite that provides a comprehensive platform for data analysis, management, and reporting. It offers a wide range of capabilities, including data manipulation, statistical analysis, and advanced analytics. The core function of the SAS system is to enable users to efficiently and effectively work with large and complex datasets, extract insights, and generate reports.

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SAS version 6.12 SAS version SAS 6.12 SAS System

6 protocols using sas system version 6

Statistical Analysis of Synthesis Materials

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The comparison of numerical variables between two groups of synthesis material was performed by the Mann-Whitney test (nonparametric), and for categorical data, the chi-square (χ²) or Fisher’s exact tests were applied. Spearman’s correlation coefficient (r) was used for the association between numerical variables.
Significance level was set at 5%. Statistical analysis was processed by statistical software SAS^® System, version 6.11 (SAS Institute, Inc., Cary, North Carolina).

STORTI T.M., CAMILO M.S., SILVA R.F., FARIA R.S., SIMIONATTO C.L, & PANIAGO A.F. (2021). CLINICAL EVALUATION OF THE TREATMENT OF CLAVICLE FRACTURES: INTRAMEDULLARY NAIL × PLATE. Acta Ortopedica Brasileira, 29(1), 34-38.

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Impact of SSRP or SS on Hemogram, Inflammation, and Periodontal Measures

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Data were analyzed using software SAS® system, version 6.11 (SAS Institute, Inc., Cary, USA). Initially, descriptive analysis was performed using measures of frequency, mean, and standard deviation. Categorical variables were compared between the groups using the Chi-square test. The normality of the distribution of continuous variables was verified using the Lilliefors test. The inferential analysis for evaluating the effect of SSRP or SS on variables of the hemogram, inflammatory markers, iron reserves, and periodontal parameters used the paired Student's t-test or Wilcoxon's test. For comparison of the corresponding absolute delta (final-initial) between the groups, the Mann-Whitney test was used. The significance level was set at 5%.

Leite S.A.M., Casanovas R.C., Rodrigues V.P., Pereira A.F.V., Ferreira T.C.A., Nascimento F.R.F.D., Nascimento J.R.D., Gomes-Filho I.S., Bastos M.G, & Pereira A.L.A. (2019). The effect of nonsurgical periodontal therapy on hepcidin and on inflammatory and iron marker levels. Brazilian oral research, 33.

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Antioxidant Effects on Blood Pressure

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Data are expressed as mean ± standard deviation (SD). The statistical analysis of the data was performed by the statistical analysis software (SAS) system, version 6.12 (SAS Institute, Inc., Cary, NC, USA). The differences between the two groups in baseline characteristics were analyzed by the two-tailed Student’s t-test. Comparisons within and between groups were assessed by a mixed ANOVA. Differences between baseline and after 6-months’ treatment in each group in BP and oxidative stress parameters were analyzed with the Wilcoxon signed rank test. Comparisons of changes in BP and oxidative stress parameters between the two groups were performed with the Mann-Whitney U-test [28 ]; we adjusted results for potential confounding factors including SBP. Findings of p < 0.05 were considered significant. Considering as clinically significant a difference of at least 10 % compared with the baseline and an alpha error of 0.05, the actual sample size was adequate to obtain a power higher than 0.80 for all measured variables.

Derosa G., Mugellini A., Pesce R.M., D’Angelo A, & Maffioli P. (2016). Barnidipine compared to lercanidipine in addition to losartan on endothelial damage and oxidative stress parameters in patients with hypertension and type 2 diabetes mellitus. BMC Cardiovascular Disorders, 16, 66.

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Antioxidant Effects on Blood Pressure

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Data are expressed as mean ± standard deviation (SD). The statistical analysis of the data was performed by the statistical analysis software (SAS) system, version 6.12 (SAS Institute, Inc., Cary, NC). The differences between the 2 groups in baseline characteristics were analyzed by the 2-tailed Student t test. Comparisons within and between groups were assessed by a 2-way analysis of variance (ANOVA) for repeated measurements. Differences between baseline and after 12 months’ treatment in each group in BP and oxidative stress parameters were analyzed with the Wilcoxon signed-rank test. Comparisons of changes in BP and oxidative stress parameters between the 2 groups were performed with the Mann–Whitney U test.¹⁶ Findings of P <0.05 were considered significant. Considering as clinically significant a difference of at least 10% compared with the baseline and an alpha error of 0.05, the actual sample size was adequate to obtain a power higher than 0.80 for all measured variables.

Derosa G., Mugellini A., Pesce R.M., D’Angelo A, & Maffioli P. (2016). Olmesartan Combined With Amlodipine on Oxidative Stress Parameters in Type 2 Diabetics, Compared With Single Therapies: A Randomized, Controlled, Clinical Trial. Medicine, 95(13), e3084.

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Ropivacaine Nerve Block Dosage

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The anticipated number of “failed-complete” pairs was calculated with power analysis based on the results of Sebel et al.^{16 (link)} Six pairs of patients are necessary to provide 80% power (1−β = 0.80) with a 5% two-sided type I error (α = 0.05). For our sample size, we continued data sampling until we had obtained 6 or more mid-points of pairs of volume.
Data are presented as means (ranges) as appropriate. The data were analyzed with logistic regression (SAS System, version 6.12, SAS Institute Inc, Cary, NC, USA) to calculate the volume of 0.25% ropivacaine required to produce a successful femoral nerve block and lateral cutaneous nerve block 30 min after local anesthetic injection in 50% (EV₅₀) and 95% (EV₉₅) of patients with 95% confidence intervals (CIs).

Yamada K., Inomata S, & Saito S. (2020). Minimum effective volume of ropivacaine for ultrasound-guided supra-inguinal fascia iliaca compartment block. Scientific Reports, 10, 21859.

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Effects of Antihypertensive Therapy on Insulin Sensitivity

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Data are expressed as the mean ± s.d.. The statistical analysis of the data was performed with the statistical analysis software (SAS) system, version 6.12 (SAS Institute, Cary, NC, USA). The differences between the two groups in their baseline characteristics were analyzed by the two-tailed Student's t-test. Differences between the baseline and 6 months after treatment in each group in terms of the BP and insulin sensitivity parameters were analyzed with the Wilcoxon signed-rank test. Comparisons of changes in the BP and insulin sensitivity parameters between the two groups were evaluated with the Mann-Whitney U-test. 27 Findings of Po0.05 were considered significant. Considering a difference of at least 10% compared with the baseline and an alpha error of 0.05 as clinically significant, the actual sample size was adequate to obtain a power higher than 0.80 for all measured variables.

Derosa G., Querci F., Franzetti I., Dario Ragonesi P., D'Angelo A, & Maffioli P. (2015). Comparison of the effects of barnidipine+losartan compared with telmisartan+hydrochlorothiazide on several parameters of insulin sensitivity in patients with hypertension and type 2 diabetes mellitus. Hypertension research : official journal of the Japanese Society of Hypertension, 38(10).

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