Sas for windows 9

Manufactured by SAS Institute

Sourced in United States

SAS for Windows 9.4 is a software application developed by SAS Institute. It provides a platform for data analysis, statistical modeling, and report generation. The software is designed to run on the Windows operating system.

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Lab products found in correlation

Prism 6, by GraphPad (2 mentions) Spss statistics 24, by IBM (1 mentions) Sas for windows v9, by SAS Institute (1 mentions) Spss statistics version 25, by IBM (1 mentions)

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SAS System for Windows release 9.3 SAS/Stat system for Windows, version 9.4 SAS V.9.2 for Windows SAS system for Windows V 9.1 SAS System for Windows, version 9.4 SAS software version 9.3 for Windows SAS statistical software for Windows, Version 9.3 SAS 9.0 for Windows SAS 9.4 for Windows 64-bit Statistical Analysis System SAS, version 9.4 for Windows

81 protocols using sas for windows 9

Antibody Response to Recombinant Proteins

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The rabbit serum antibody response against the injected recombinant proteins (measured by ELISA using plates coated with respective recombinant protein) was compared between the preinjected serum and the 21 day post-injection sera with mixed model logistic regression using PROC GLIMMIX in SAS for Windows 9.4 (SAS Institute, Inc., Cary, NC, USA).
The variance in the mean difference in reactivity between preinjected serum and immune serum for each protein against the mean of all four lineage I strains, four lineage II strains, and four lineage III strains was compared using PROC GLM Dunnett in SAS for Windows 9.4.
Additionally, a multiple variant comparison of the mean difference in reactivity for each genetic lineage III strain was carried out separately against the mean differences of all four lineage I and all four lineage II strains using PROC GLM with an adjustable p value.

Gomaa B., Lu J., Abdelhamed H., Banes M., Pechanova O., Pechan T., Arick MA I.I., Karsi A, & Lawrence M.L. (2024). Identification of Protein Biomarkers for Differentiating Listeria monocytogenes Genetic Lineage III. Foods, 13(9), 1302.

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Statistical Analysis of Pathogenicity and Virulence

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Linear regression analysis in PROC MIXED of SAS for Windows 9.4 (SAS Institute, Inc., Cary, NC, USA) was used for growth kinetics, biofilm, hemolysis, and bioluminescence assays where the mutant strains were compared to E. piscicida strain C07–087. Separate models were developed for each analytical test using manual forward selection, and each included mutant type and hour as fixed effects. Rep was included as a random effect. Adjustment for multiple comparisons were made using the SIMULATE option. Results are reported as least square means± standard error.
Exact logistic regression was used in PROC LOGISTIC of SAS for Windows 9.4 (SAS Institute, Inc., Cary, NC, USA) to evaluate percent mortalities during the pathogenicity and vaccine trials. The outcome was the number of deaths over the total number of trials. For the challenge analysis, comparisons were made to the negative control, and separate models were developed for low and high doses. Odds ratios and 95% Confidence Limits are reported. For the pathogenicity analysis, comparisons were made to strain C07–087.

Edrees A., Abdelhamed H., Nho S.W., Park S.B., Karsi A., Austin F.W., Essa M., Pechan T, & Lawrence M.L. (2018). Construction and evaluation of type III secretion system mutants of the catfish pathogen Edwardsiella piscicida. Journal of fish diseases, 41(5), 805-816.

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Sjögren's Syndrome Risk in DES Patients

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SAS for Windows 9.3 (SAS Institute, Inc., Cary, NC, U.S.A.) was used for this study. Descriptive statistical analyses were done to compare the characteristics of the two cohorts in terms of demographic characteristics and the risk of developing Sjögren’s syndrome. We compared DES patients with the comparison group concerning the risk of developing Sjögren’s syndrome by estimating the crude hazard ratio with conditional logistic regression. Kaplan-Meier analysis was used to calculate the cumulative incidence rates of developing Sjögren’s syndrome in each of the cohorts and the log-rank test was used to analyse the differences between the survival curves. Thereafter, we performed separate Cox proportional hazard regressions to compute the Sjögren’s syndrome-free survival rate after adjusting for possible confounding factors such as age and sex. Statistical significance was set at p ≤ 0.05.

Yen J.C., Hsu C.A., Li Y.C, & Hsu M.H. (2015). The Prevalence of Dry Eye Syndrome’s and the Likelihood to Develop Sjögren’s Syndrome in Taiwan: A Population-Based Study. International Journal of Environmental Research and Public Health, 12(7), 7647-7655.

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Faecal Carriage of ESCE/K: Risk Factors

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Statistical analysis was performed in SAS for Windows 9.3 (SAS Institute Inc.).
The eight potential risk factors (Table 1) were screened using univariable logistic regression and selected for multivariable logistic regression if p < 0.2. A multivariable logistic regression model was used to investigate the association between faecal carriage of ESCE/K and potential risk or protective factors at individual level. Manual backward elimination was used until all remaining variables showed a p ≤ 0.05. The model was investigated for interactions between all included variables in the final model. The statistical models had three levels of nested factors in the hierarchy, where each person sampled was clustered within households that were clustered within villages. All variables in the model were categorical except for the continuous variable meat consumption.

Atterby C., Osbjer K., Tepper V., Rajala E., Hernandez J., Seng S., Holl D., Bonnedahl J., Börjesson S., Magnusson U, & Järhult J.D. (2019). Carriage of carbapenemase‐ and extended‐spectrum cephalosporinase‐producing Escherichia coli and Klebsiella pneumoniae in humans and livestock in rural Cambodia; gender and age differences and detection of bla OXA‐48 in humans. Zoonoses and Public Health, 66(6), 603-617.

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Analyzing PRMC Decision and Protocol Modifications

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We analyzed the association between trial characteristics, PRMC decisions, and PRMC protocol modifications using chi-square test, Fisher exact test, logistic regression, linear regression, and general linear models. All reported P values are 2-sided, and a P value of less than .05 was used as the criterion for statistical significance. Multiple comparisons were not adjusted. To limit the influence of outlying data, we performed additional analyses by binning values for changes/clarifications requested/implemented as follows: 0, 1 to 5, 6 to 10, greater than 10. All statistical calculations were performed using SAS for Windows 9.3 (SAS Institute Inc., Cary, NC).

Ning N., Yan J., Xie X.J, & Gerber D.E. (2015). Impact of NCI-Mandated Scientific Review on Protocol Development and Content. Journal of the National Comprehensive Cancer Network : JNCCN, 13(4), 409-416.

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Campylobacter Prevalence Across Species

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Statistical analysis of results was performed in sas for Windows 9.3 (SAS Institute Inc., Cary, NC, USA). Pearson's chi-squared test, or Fisher's exact test when there were less than five observations per group, was used to analyse differences in the proportion of Campylobacter-positive samples between children, adult males and adult females; between livestock species and between regions. The statistical significance level was defined as a two-tailed p ≤ 0.05. Maps were produced in QGIS 2.0.1 24 with open source base map layers obtained from Open Development Cambodia 25.

Osbjer K., Tano E., Chhayheng L., Mac-Kwashie A.O., Fernström L.L., Ellström P., Sokerya S., Sokheng C., Mom V., Chheng K., San S., Davun H., Boqvist S., Rautelin H, & Magnusson U. (2016). Detection of Campylobacter in human and animal field samples in Cambodia. APMIS : acta pathologica, microbiologica, et immunologica Scandinavica, 124(6).

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Repeated-Measures Analysis of Transformed Data

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A repeated-measures design was utilized in this study. Visual assessment of the data using histograms with UNIVARIATE procedure of SAS^® for Windows^® 9.3 (SAS Institute, Inc., Cary, NC, USA) indicated that the data were not normally distributed. Consequently, the data were transformed by talcing the reciprocal square root of each value. Histograms indicated the transformed data were approximately normally distributed. A separate mixed-effects model for each outcome was used to test for a time effect using the MIXED procedure of SAS^® for Windows^® 9.3. A first-order autoregressive covariance structure was specified in the repeated statement to accommodate the repeated measures. For outcomes in which time had a significant effect (P ≤ 0.05), comparisons were made between each pair of time points using differences in least square means. Tukey Kramer adjustment was used for adjustment of P values for the multiple comparisons. A P value of less than or equal to 0.05 was considered to be significant for all analyses.

FELLMAN C.L., ARCHER T.M., STOKES J.V., WILLS R.W., LUNSFORD K.V, & MACKIN A.J. (2015). Effects of oral cyclosporine on canine T-cell expression of IL-2 and IFN-gamma across a 12-h dosing interval. Journal of veterinary pharmacology and therapeutics, 39(3), 237-244.

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Bacterial Count Normality Assessment

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Normality of bacterial counts was checked by visual assessment of histograms using PROC UNIVARIATE in SAS for Windows 9.3 (SAS Institute, Inc., Cary, NC). When colony counts were not normally distributed, the log₁₀ transformation was applied, and transformed data were analyzed by Student’s t test (P < 0.05).

Akgul A., Al-Janabi N., Das B., Lawrence M, & Karsi A. (2017). Small molecules targeting LapB protein prevent Listeria attachment to catfish muscle. PLoS ONE, 12(12), e0189809.

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Proximal and Nonproximal Caries in Primary Dentition

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Sample size calculation: There were a total of 1,718 patients fitting these criteria having 938 males 780 females. To detect a 20% point difference between proximal and nonproximal caries groups, a sample of 206 radiographs were needed to be reviewed. Given these numbers, and intention for this project, a sample of 212 radiographs was considered reasonable for this project.
The charts and radiographs were screened by a single examiner (SM) using convenience sampling. Approximately 20 radiographs were evaluated by two additional evaluators (VD and MDM) to verify that the examiner's scoring criteria for NP and P lesions were as per the definition. The number of mesial and distal caries on a radiograph in primary dentition were recorded. The number of nonproximal carious lesions were recorded by charted notes/findings and radiographs.
The following outcomes were studied:
The data was entered onto Microsoft Excel spreadsheets and examined for any data entry errors. A password protected computer was used to store this data. Statistical analysis was using SAS for Windows 9.3 (SAS Institute, Inc., 2002–2010). The mean number of P and NP caries was calculated. The association between P and NP caries was evaluated using chi-square analysis and odds ratio.

Dhar V., Mon S, & Macek M.D. (2018). Evaluation of Nonproximal Caries as Predictor of Proximal Caries in Primary Molars. International Journal of Clinical Pediatric Dentistry, 11(6), 457-461.

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Biochemical and Bone Repair Analysis

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Values are expressed as mean ± SEM or SD as indicated. For statistical comparison of two samples, a two‐tailed Student t test was used, and P < .05 was considered significant where indicated. Two‐way analysis of variance with Duncan's multiple range test was performed to determine the effect of treatment and time on biochemical and bone repair parameters. Additional specific data analyses, if applicable, are presented in figure legends. Analyses were performed by SAS for Windows 9.3 (SAS Inc.).

Vukicevic S., Grgurevic L., Erjavec I., Pecin M., Bordukalo‐Niksic T., Stokovic N., Lipar M., Capak H., Maticic D., Windhager R., Sampath T.K, & Gupta M. (2019). Autologous blood coagulum is a physiological carrier for BMP6 to induce new bone formation and promote posterolateral lumbar spine fusion in rabbits. Journal of Tissue Engineering and Regenerative Medicine, 14(1), 147-159.

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