All data are expressed as treatment means ± standard error of the mean (SEM). Standard one-way or two-way ANOVA was used to analyze data. When appropriate, significant main and interaction effects were subjected to F-protected LSD test for post hoc analyses for further comparison. Observations more than three interquartile ranges from the first and third quartile were excluded from analyses. An alpha level of p < 0.05 was used as the criterion for the rejection of the null hypothesis. All data were analyzed using StatView statistical software (SAS Institute, Cary, NC).
Statview statistical software
Manufactured by SAS Institute
Sourced in United States
StatView is a statistical software product developed by SAS Institute. It provides a range of statistical analysis and data visualization capabilities. StatView allows users to perform various statistical tests, generate reports, and create graphical representations of data.
Automatically generated - may contain errors
Lab products found in correlation
38 protocols using statview statistical software
1
Comparative Analysis of Treatment Effects
2
Statistical Analysis of Survival Data
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The data were analyzed using a t2‐test to determine the differences between the groups using StatView statistical software (version 5.0.1; SAS Institute, Cary, NC, USA). To determine the relative survival of patients, the Cox's proportional hazards regression model was used, and survival curves after surgery were obtained using the Kaplan–Meier method. Statistical comparison of survival was performed using the log‐rank test. The P values <0.05 were considered statistically significant.
3
Comparative Statistical Analysis of Groups
4
Statistical Analysis of Experimental Data
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All data were analyzed using StatView statistical software (SAS Institute, Cary, NC, USA). For continuous variables, data are expressed as mean±standard deviation. Statistical differences between the groups were compared using paired or unpaired t-tests or the Mann-Whitney U test, as appropriate. The chi-square test was used for categorical variables. Probability values less than 0.05 were considered statistically significant.
5
Monocyte Subsets and Metabolic Factors
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All statistical analyses were performed using Statview statistical software (SAS, Cary, NC). Circulating CD16‐positive monocyte counts were normalized by square root transformation, whereas serum leptin and oxidized LDL concentrations were normalized by log transformation. Results are reported by mean ± SEM, unless specifically stated otherwise. Differences in surface antigen expression on monocyte subpopulations were assessed by analysis of variance, using the Bonferroni/Dunn test for multiple pairwise post hoc comparisons. Leptin‐induced CD16 expression was assessed by two‐factor (leptin dose × sex) repeated measures ANOVA. Correlations between variables were analyzed by simple regression, multiple regression, or analysis of covariance, as stipulated in the text. Stepwise multiple regression analyses were performed using an F‐to‐enter of 4.0 and standardized regression coefficients (b) are reported for independent factors. A P‐value <0.05 was considered statistically significant.
6
Evaluating Omarigliptin's Impact on Glycemic Variability
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Data are presented as a mean ± SD and as n (%) for frequencies unless otherwise specified. Where appropriate the prevalence was compared using the 2 test or Fisher’s exact test, and differences in nonparametric data were tested using the Mann-Whitney U test or Kruskal-Wallis test. A comparison of different time points within the same group was made using Friedman’s analysis of variance test for repeated measures, and multiple logistic regression analysis was used to determine the parameters affecting the therapeutic response to omarigliptin. Additionally, changes in glycemic variability parameters before and after administering omarigliptin were analyzed using the Wilcoxon signed-rank test within the groups, with P values of less than 0.05 being considered statistically significant. Statistical analysis for this study was performed using StatView statistical software (version 5.0, SAS Institute, Cary, NC, United States).
7
Comparative Statistical Analysis of Experimental Data
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Results were compared between different groups using two-tailed Student’s t-test. Differences were considered statistically significant at p-values < 0.05. All analyses were performed using StatView statistical software (version 5.0; SAS Institute Inc., Cary, NC, USA). Each column and error bar represent the mean values ± SD of three independent experiments (n = 3 experiments; mean values ± SD).
8
Assessing Clinical Response using IgG
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The χ2 test was used to assess the significance of the association of total IgG level with patient clinical response. In all tests, statistical significance was set at P<0.05. All analyses were performed using StatView statistical software (version 5.0; SAS Institute Inc., Cary, NC, USA).
9
Histomorphometric Analysis of Intestinal Villi
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All images captured using the CCD camera system were measured using the ImageJ software according to the user manual. The lengths of villi (control group: 40 villi from 4 animals; MSG-induced obesity group: 40 villi from 4 animals) and thicknesses of villi (control group: 80 villi from 4 animals; MSG-induced obesity group: 80 villi from 4 animals) were measured. The volume of cytoplasm and nucleus of small intestinal epithelia from each group were also measured (control group: 80 cells from 4 animals; MSG-induced obesity group: 80 cells from 4 animals). According to the morphometric aspect of rER [22 ], the length of rER in cells from each group was measured (control group: 414 rER from 10 cells; MSG-induced obesity group: 415 rER from 17 cells). According to the morphometric aspect of mitochondria [22 ], the area of mitochondria in small intestinal epithelia from each group was measured (control group: 30 cells; MSG-induced obesity group: 30 cells). All data were expressed as mean ± standard deviation. Statistical analysis was performed using the StatView statistical software (SAS Institute Inc., Cary, NC). The differences between control mice and MSG-induced obese mice were analyzed using Student's t-test. P values < 0.05 were considered statistically significant.
10
Statistical Analysis of Experimental Data
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