Statistical analysis was performed using SAS version 6.4 (SAS Institute Inc., Car, NC, USA). The exact logistic regression model was fitted to compare seroreactivity and PCR positive rates between the different groups, age classes, sex and in relation to the presence of ticks. First, global hypothesis tests were performed, comparing all dog groups, based on the likelihood ratio test (LRT). With an overall significant test, groups were compared pairwise using Bonferroni’s multiple comparisons technique at a global significance level of 5%. Significant pairwise comparisons were summarized in terms of the odds ratio (OR) with a 95% confidence interval (95% CI). Other risk factors (sex, tick exposure, age groups) were analysed in the same way.
Sas version 6
Manufactured by SAS Institute
Sourced in United States
SAS version 6.12 is a software package for data analysis, statistical modeling, and report generation. It provides a comprehensive suite of tools for managing, analyzing, and visualizing data. The software is designed to handle a wide range of data types and sources, and it offers a variety of statistical and analytical methods to support decision-making processes.
Automatically generated - may contain errors
Lab products found in correlation
37 protocols using sas version 6
1
Canine Seroprevalence and PCR Analysis
2
Evaluating Probiotic Potential in Vibrio Challenge
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For the experimental infection model, the survival (0–1) at the end of the study was compared between the three Vibrio strains (in different concentrations) and the negative control group using a logistic regression model. In the harmfulness study, the survival (0–1) of the negative control was compared with the probiotic candidates by a logistic regression model. The body length measurements of the larvae exposed to the probiotic candidates in comparison with the negative control group were analyzed within each experiment by a linear fixed effects model. To evaluate the protective potential of the probiotic candidates, administered via the water or the food, the survival (0–1) at the end of the study was compared between the negative control, the positive control and probiotic candidates by a logistic regression model.
All analyses were performed using SAS version 6.4. The global significance level of 5% was used but multiple comparisons significance levels were adjusted based on the Bonferroni correction method in order to compare the outcome of the challenges with the three Vibrio isolates with the negative control and to compare the probiotic candidate treatments, negative control and the positive control group (comparison wise significance level set at 0.05/3 = 0.0167).
All analyses were performed using SAS version 6.4. The global significance level of 5% was used but multiple comparisons significance levels were adjusted based on the Bonferroni correction method in order to compare the outcome of the challenges with the three Vibrio isolates with the negative control and to compare the probiotic candidate treatments, negative control and the positive control group (comparison wise significance level set at 0.05/3 = 0.0167).
3
Survival Analysis of Melanoma Staging
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Quantitative clinical and histopathologic data were expressed as medians with interquartile ranges (IQRs), and categoric data were presented as absolute numbers and proportions. The Kaplan-Meier method was used to estimate MSS and OS, and differences between the substages IIIA, IIIB, IIIC, and IIID were assessed by means of the log-rank test. Estimated survival rates were expressed as percentages with standard errors. Cumulative incidences of death as a result of melanoma and not as a result of melanoma were estimated using competing risk methods.
All statistical tests were 2 sided, with a P value < .05 considered statistically significant. Statistical calculations were performed with IBM SPSS Statistics Version 25.0 (IBM SPSS, Chicago, IL) or SAS Version 6.4 (Cary, NC) statistical software.
In sensitivity analyses, we compared the MSS curves for stage III patients classified according to AJCCv8 with those classified according to AJCCv7. For this purpose, Kaplan-Meier survival curves were identified from 2 publications describing the AJCCv79 (link),20 (link) and the AJCCv8.10 The curves were scanned, extracted, and digitized manually using an interactive digitizing software21 as described previously.22 (link),23 (link) This software creates sampling points and allows curve construction by linear interpolation between these points.
All statistical tests were 2 sided, with a P value < .05 considered statistically significant. Statistical calculations were performed with IBM SPSS Statistics Version 25.0 (IBM SPSS, Chicago, IL) or SAS Version 6.4 (Cary, NC) statistical software.
In sensitivity analyses, we compared the MSS curves for stage III patients classified according to AJCCv8 with those classified according to AJCCv7. For this purpose, Kaplan-Meier survival curves were identified from 2 publications describing the AJCCv79 (link),20 (link) and the AJCCv8.10 The curves were scanned, extracted, and digitized manually using an interactive digitizing software21 as described previously.22 (link),23 (link) This software creates sampling points and allows curve construction by linear interpolation between these points.
4
Seroprevalence Factors in Dog Handlers
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A statistical analysis was performed using SAS version 6.4 (SAS Institute Inc., Car, NC, USA). The exact logistic regression model was fitted to compare seroreactivity rates between both dog handler and blood donor groups and between gender, the presence or absence of outdoor activities, exposure to ticks, dogs or other domestic animals inside the blood donor group. The statistical significance was set at 5%. The results were summarized in terms of the odds ratio with a 95% confidence interval.
5
Increasing Access to Contraceptive Care
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Eligible participants who met the criteria were enrolled to receive the progestogen-only pill plus a rapid access card to a sexual and reproductive health clinic (intervention group) or received advice from a pharmacist to attend their usual contraceptive provider (control group). The order in which pharmacies delivered the control or intervention was randomised for each pharmacy, and generated using a computer software algorithm that randomly allocated permuted blocks of size 2, 4, and 6; blocking was used to ensure a balanced order. The randomisation file was prepared by a study statistician at the Centre for Healthcare Randomised Trials (University of Aberdeen, UK), using SAS version 6.4. The study statistician was masked to the outcome assessment, but women and research nurses were not masked. Pharmacists were informed of the randomised allocation by the study trial manager at the Edinburgh Clinical Trials Unit.
6
Cervical Ripening Comparison: Dilapan-S and Propess
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Patients will be randomised using simple random allocation to either Dilapan-S® (12-h insertion or 24-h insertion) or Propess in a 1:1:1 ratio using a block size of 6 via a computer-generated randomisation procedure (software SAS Version 6.4).
7
Dental Emergence Timing Factors
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The analysis was based on a proportional hazards regression model with Weibull baseline hazard to include both left censored, right censored and interval censored data. The ICPHREG procedure of SAS version 6.4. was used. The difference in emergence between contralateral (left versus right) and ipsilateral (mandibular versus maxillary) pairs of dental elements, between male and female dogs, and between breeds with different size or skull type, were evaluated by the hazard ratio (HR) and its 95% confidence interval (CI).
8
Effects of Phytobiotics on Poultry
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All data were analyzed by using the software SAS, version 6.03 (SAS 1996) . Two-way analysis of variance (Two-way ANOVA) was used to determine whether significant variation existed between the treatments. When overall differences were found, differences between means were tested by Duncan (1955) new multiple range test. One-way ANOVA was used for analyzing the individual effects of phytobiotics (onion powder and thyme powder) and the interaction. All differences were considered significant at P < 0.05 and the results are presented as means with pooled standard error of the mean.
9
Statistical Analysis of Treatment Effects
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All data were analyzed by using the software SAS, version 6.03 (Statistical Analysis System 1996) . One-way analysis of variance (One-way ANOVA) was used to determine whether significant variation existed between the treatments. When overall differences were found, differences between means were tested by Duncan (1955) new multiple range test. All differences were considered significant at P < 0.05 and the results are presented as means with pooled standard error of the mean).
10
Dietary Protein Ratio and Protease Effects
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All data were analyzed by using the software SAS, version 6.03 (Statistical Analysis System 1996) . One-way analysis of variance (One-way ANOVA) was used to determine whether significant variation existed between the treatments. When overall differences were found, differences between means were tested by Tukey's HSD test. Two-way ANOVA was used for analyzing the individual effects of FM: CSM ratios and protease level and the interaction between them. All differences were considered significant at P<0.05 and the results are presented as means with pooled standard error of the mean (Pooled S.E.M).
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