Statistics were calculated using SAS software, Version 9.4 of the SAS System for PC. (Copyright 2013 SAS Institute Inc. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc., Cary, NC, USA.) Descriptive statistics were calculated including mean, standard deviation and range to describe the age and weight (PROC UNIVARIATE). The categorical variables of breed and anatomic site was displayed in a tabular form and described with frequencies and percentages (PROC FREQ). Chi square tests were used to assess for associations between age, sex, neuter status, affected limb (forelimb vs. hindlimb), tumor locations and grouping of phylogenetic clusters or size category.
Sas system for pc
Manufactured by SAS Institute
Sourced in United States
The SAS System for PC is a comprehensive software suite that provides data management, advanced analytics, and reporting capabilities. It offers a wide range of tools and features to handle complex data processing and analysis tasks. The core function of the SAS System for PC is to enable users to access, manage, and analyze data from various sources, and to generate customized reports and visualizations.
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Lab products found in correlation
3 protocols using sas system for pc
1
Descriptive Statistical Analysis of Canine Tumor Characteristics
2
Comparison of Postoperative Curve Magnitudes
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Data were analyzed using the SAS/STAT software version 9.4 of the SAS System for PC, © 2014 SAS Institute Inc., Cary, NC, USA. Demographic, baseline characteristics, and study outcomes were compared between the two groups using either χ2 tests or Fisher exact tests for categorical variables or Student t-test for continuous variables. Postoperative curve magnitude was analyzed including preoperative curve magnitude as covariates in a multivariable model. Statistical significance was defined as p value < 0.05.
3
Hepatocellular Carcinoma Survival Analysis
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Basic statistical comparisons were made between the non-BB and BB groups in terms of demographics, past medical history, labs at HCC diagnosis and other HCC-related data. Continuous variables were represented as mean ± standard deviation and compared using two-sample t-tests. Categorical variables were represented as frequency percentage and compared using chi-square and Fisher's exact tests. Proportional hazard models were fitted using all available data, and Kaplan–Meier survival curves were provided along with results of the log-rank test. PFS and OS were analyzed via Cox proportional hazard models and depicted with Kaplan–Meier survival curves. A p < 0.05 was deemed statistically significant. The data analysis for this article was generated using SAS software version 9.4 of the SAS System for PC (SAS Institute Inc., NC, USA).
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