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Spss statistical software v 22 for windows

Manufactured by IBM
Sourced in United States, United Kingdom

SPSS Statistics Version 22 for Windows is a statistical software package used for data analysis. It provides a wide range of analytical tools for managing, analyzing, and visualizing data. The software is designed to help users gain insights from their data through various statistical techniques and modeling capabilities.

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Lab products found in correlation

2 protocols using spss statistical software v 22 for windows

1

Exenatide vs. Insulin for T2DM CIMT

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All analyzes were performed with SAS V.9.10 software (SAS, Cary, NC, USA). Regarding the sample size estimation, we assumed a 0.15 mm difference in the CIMT between the exenatide and insulin group based on previous liraglutide and DPP-IV studies [19 (link), 20 (link)]. Considering a standard deviation of 0.2 mm, 28 patients per treatment group were needed for the primary endpoint analysis to warrant a power of 80% with a two-sided significance level of 0.05. Assuming a drop-out rate of 15%, the sample size needed for each group would be 33, for a total sample size of 66 patients.
The full analysis set was used for statistical analysis. For the primary endpoints, the least-squares mean change from baseline to 52 weeks and associated 95% confidence intervals and P values for exenatide versus insulin were derived from a mixed model for repeated measures with age, sex, duration of T2DM and CIMT at baseline as fixed covariates. Normally distributed data are expressed as means and standard deviations, and the t-test was used for comparison. Skewed data were compared with a nonparametric test. The count data are expressed as proportions, and the frequencies were compared with a Chi-square test. A P < 0.05 indicated a statistically significant difference. All statistical analyses were carried out with IBM SPSS statistical software V.22 for Windows (IBM Corp., Armonk, NY, USA).
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2

Factors Influencing Post-PTA Patency

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Categorical variables are expressed as the number (N) and percentage, while continuous variables are expressed as the mean and SD. Differences in categorical variables between PTA were examined using the χ2 test or Fisher’s exact test, while continuous variables were examined using Student’s t test. Differences in the post-PTA patency according to acute myocardial infarction (AMI), cerebrovascular accident (including stroke and/or haemorrhage but not epileptic seizure), dipeptidyl peptidase (DPP)-4 inhibitors, thiazolidinediones, ADP inhibitor, warfarin or VA type were evaluated using the cumulative curve.
Univariate and multivariate Cox proportional hazards regression analyses were performed to examine post-PTA patency. The multivariate Cox proportional hazards regression model was adjusted for age and sex as confounding factors. Results of the regression analyses are presented as the HR with corresponding 95% CI and p value. All p values were two sided, and p<0.05 was considered statistically significant. All statistical analyses were performed using IBM SPSS statistical software V.22 for Windows (IBM, Armonk, New York).
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