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Sas program

Manufactured by SAS Institute
Sourced in United States, Belgium

SAS program is a software package developed by SAS Institute for statistical analysis and data management. It provides a comprehensive suite of tools for data manipulation, statistical modeling, and reporting. The program is designed to handle large datasets and offers a range of analytical capabilities, including regression analysis, multivariate techniques, and time series analysis.

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242 protocols using sas program

1

Analysis of Variance for Disease Intensity

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Analysis of variance was carried out with the SAS program (SAS Institute, Cary, NC, USA) for the test variables viz., and disease intensity and area under disease progress curve (AUDPC) were performed as per procedure. The statistical model consists of the following mathematical expression.

where:

Yij = observation of ith individual (g = 1 − i) in jth replication (r = 1 − k);

μ = general mean;

gi = effect of the ith genotype;

rj = effect of jth replication;

eij = random error related with ijth observations.

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2

Randomized Trial of Standardized vs. Enhanced Supportive Care Protocols

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After the T1 survey completion, couples will be randomized to the standardized SCP or the ESCP groups using a 1:1 ratio; 25 couples in each group (N=50 couples). The study statistician will generate, using an SAS program (SAS Institute Inc., Cary, NC, USA), a stratified permuted block randomization plan with varying block sizes. The randomization will be stratified by type of treatment (surgery, radiation, radiation plus hormonal therapy) because we believe that treatment type correlates with symptoms and QOL [38 (link)]. The health educator will administer this allocation sequence and send couples a letter and message via mail, email, and phone explaining their group assignment and study activities. After randomization, all participants will receive the standardized SCPs plus the Web link to our study website that is inserted at the end of the SCP using Smart Phrase in the electronic medical record Epic system. Following SCP delivery by clinicians, the interventionist will assign all participants their usernames and passwords and invite them to log into the study website embedded in the SCP via email, telephone, or mail. Other team members will be blinded to the treatment allocation until the end of the study, whereas the interventionist who knows the treatment allocation will not conduct surveys or interviews.
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3

One-way ANOVA Statistical Analysis

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Data from all assays were analyzed by one-way ANOVA by PROC GLM for continuous variables using SAS program (SAS Institute Inc., 1989 ). The means were compared by least squared difference (LSD) test at Type I error = 0.05.
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4

Dietary Copper Sources and Broiler Performance

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The experimental data were analyzed by using the GLM procedure of SAS (SAS
Institute, Cary, NC, USA) in a randomized complete block design. For doses
comparison (16 ppm, 40 ppm, 80 ppm, and 120 ppm), the linear and quadratic
contrasts were applied to evaluate the influences of increasing dietary Cu
sources. Also, the polynomial contrast was used to compare the HME and INO
treatments by the SAS program (SAS Institute). Pen replicate was the
experimental unit for growth performance and individual broiler chick was
considered as an experimental unit for blood parameters, digestibility of
nutrients, and Cu concentrations in the organs. Significance level was set
at p < 0.05 and values 0.05 ≤
p ≤ 0.1 were considered as tendency.
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5

Statistical Analysis of Extract Samples

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All determinations were carried out in triplicate. All data were analyzed using
the general linear model procedure of the SAS program (ver. 9.2; SAS Institute,
Cary, NC, USA) using one-way analysis. Tukey’s test was used to determine
the significance of the differences in the mean values for the different extract
samples. Differences were considered significant at p<0.05.
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6

Statistical Analysis of AE-Treated Effects

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For the results of all experimental analyses, means and standard errors in each group were calculated using an SAS program (SAS Institute, Cary, NC, USA). To determine the statistical significance of differences between the control and AE-treated groups, one-way analysis of variance was performed, followed by the Student’s t-test. P-values less than 0.05 were considered to be statistically significant.
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7

Androstenone Effects on Neurotransmitters

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The interaction effect of each treatment of androstenone on the level of neurotransmitters was assessed using a Mixed GLM model and the SAS program (SAS Institute, Cary, NC, USA). A least square (LS) post-hoc test was applied to test the significant difference in the plasma concentration of neurotransmitters between the treatment and the cortisol group at the same sampling time. Time-dependent hormonal changes were also compared using a LS means comparison. The p values of <0.05 were considered to be statistically significant (p < 0.05).
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8

Statistical Analysis of Case-Control Study

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Data of all results were expressed as the mean and standard deviation using the SAS program (version 9.3; SAS Institute Inc., Cary, NC, USA). Differences between case and control groups were assessed using the Student's unpaired t-test. Statistical significance was set at a value of p < 0.05.
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9

Reproductive Records of Brazilian Holstein Cows

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The Brazilian Association of Holstein Cattle Breeders (ABCBRH) and its state affiliates provided reproductive and genealogical records of Holstein cows in Brazil, including data on age at first calving, which was collected by technicians of the Milk and Genealogical Control Service of the ABCBRH from 1987 to 2010. The SAS program (SAS Institute Inc., 2017 ) was used to prepare, format, and describe the data, using routines developed by Cardoso (2007) . The AMC program (Roso & Schenkel, 2006 ) was used to evaluate the connectivity of contemporary groups (CG) using the pedigree and data files, keeping only connected CG (minimum of 20 observations per CG, five progeny per bull, and standard deviation of the trait less than three); maintaining a main archipelago only of animals connected with 18,822 animals in 631 CG. The pedigree has 29,643 animals. Year of birth, birth season, and herd data were used to define the CG; birth seasons were grouped into three classes August to November (1), December to March (2), and April to July (3).
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10

Genetic Evaluation of Egyptian Sheep Breeds

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Genetic equilibrium for Egyptian sheep breeds were assessed according to Hardy-Weinberg equilibrium (HWE) and chi-square test by using SAS Genetics (v9.3, SAS Institute Inc., Cary, NC, USA). The effect of IGF-1 alleles on wool traits of Egyptian sheep was estimated by using general linear model (GLM) procedure and the least squares means of the genotypes were compared by the Tukey-Kramer test. The odds ratios were processed to evaluate the power of the relationship between IGF-1 gene polymorphism and wool characteristics of Egyptian sheep. Significance was set at P ≤ 0.05, P ≤ 0.01 and P ≤ 0.001 [19] , [20] , [21] , [22] , [23] , [24] . All statistical analyses were performed by applying SAS program (v9.3, SAS Institute Inc., Cary, NC, USA).
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