Sas stat software for windows

Manufactured by SAS Institute

Sourced in United States

SAS/STAT software for Windows® is a statistical analysis tool designed to provide advanced analytical capabilities. It offers a wide range of statistical procedures for data exploration, modeling, and inference. The software is intended to assist users in analyzing and interpreting data, but a detailed description of its intended use or functionality is not available in this format.

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SAS software (6040 citations) SAS/STAT software (218 citations) SAS for Windows (192 citations) SAS/STAT (156 citations) SAS software for Windows (42 citations) SAS/STAT for Windows (3 citations) SAS/STAT software for Windows version 9.4 (2 citations)

3 protocols using sas stat software for windows

Survival and Categorical Analysis of Bullet Types

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Time-to-event variables are expressed by Kaplan-Meier plot and categorical or discrete distributed variables are expressed in contingency tables. Frequencies are expressed in percent with 95% confidence intervals (CI) constructed using simple binomial sequences (Lee & Wang 2003 (link); Agresti 2013 ).
Survival Analysis was used for comparison of groups regarding time-to-event variables (Lee & Wang 2003 (link)). Contingency Table Analysis was used for categorical or discrete distributed variables corrected for bullet type (Agresti 2013 ). All tests were performed two-tailed and differences considered significant for P-values less or equal to 5%. The data analysis was generated using SAS/STAT software for Windows® (version 9.4, 2016; SAS Institute Inc, Cary, NC, USA).

Ryeng K.A, & Larsen S.E. (2024). The significance of shooting angle in seal shooting. Animal Welfare, 33, e5.

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Evaluating Parasiticidal Efficacy

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The parasiticidal activity of the preparations (Ef,%) was calculated as a decrease (in%) in the geometric mean values of the number of eggs of helminths or parasitic groups to the control (not treated). A statistical analysis of the number of helminth eggs or imaginal forms of parasites was carried out to compare the parasiticidal activity. To reach the differences between the experimental and control groups of animals, a parametric t-test was used at a significance level of p ≤ 0.05. The calculations were performed using the SAS/Stat software for Windows.

Marchenko V.A., Khalikov S.S., Vasilenko Y.A., Ilyin M.M, & Kravchenko I.A. (2020). Innovative anthelmintic based on mechanochemical technology and their efficacy against parasitic infection of sheeps. Journal of Advanced Veterinary and Animal Research, 7(4), 718-725.

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Statistical Analysis of Insect Populations

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The number of live insects per experimental unit was subjected to repeated-measures (multivariate) analysis of variance because determination of insect numbers per plant was carried out on the same plots at each evaluation date, 34, 35 thereby avoiding the problem of pseudoreplication in time. 35 -37 This analysis was carried out using the PROC MANOVA procedure with the PROFILE statement, as suggested by von Ende. 38 When necessary, post hoc Tukey's HSD tests (𝛼 = 0.05) were performed to compare treatment means. The instantaneous rate of increase in each species at 45 DAI was subjected to analyses of covariance with the species presence as the independent variable and the proportional increase in density as a covariate (PROC GLM procedure). Complementary regression analyses were performed when necessary (PROC REG procedure). The assumptions of normality and homogeneity of variance were checked, and no data transformation was necessary (UNIVARIATE procedure). Comparisons of soybean yields among the treatments were made by the PROC ANOVA procedure, and post hoc Tukey's HSD tests (𝛼 = 0.05) were performed to compare treatment means. All statistical procedures above were performed using SAS/STAT software for Windows (SAS Institute, Cary, NC). 39

Tuelher E.S., Silva É.H., Hirose E., Guedes R.N, & Oliveira E.E. (2016). Competition between the phytophagous stink bugs Euschistus heros and Piezodorus guildinii in soybeans. Pest management science, 72(10).

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