Statview Version 5.0 (SAS Institute Inc.) was used for statistical analysis and GraphPad Prism Version 5.03 and Statview Version 5.0 (SAS Institute Inc.) for graphical representations of box plot and scatter column. Cytokine concentrations were transformed to log 10 function for graphical representation. IL-10/TNFα and IL-10/IL-6 ratios were calculated for each sample. The ranges of cytokine cconcentrations, Plasmodium sp., L. loa and M. perstans parasitaemia and eosinophilia did not follow normal distributions and descriptive analyses of these quantitative variables are presented with medians [interquartile ranges, IQR: 25th - 75th quartiles]. Tests for comparison of cytokines and ratios were performed rstly using the Kruskal-Wallis test for a global comparison, then the Mann-Whitney U test for a comparison of medians of two groups with different infection pro les. In order to perform multivariate analysis, R software was used to build and evaluate some models. F-tests were performed to statistically test the equality of means into different groups, according to age, location, parasitaemia. A p-value less than 0.05 was considered signi cant.
Statview version 5
Manufactured by SAS Institute
Sourced in United States, Japan
StatView version 5.0 is a statistical analysis software package developed by SAS Institute. It provides users with a comprehensive set of tools for data analysis, visualization, and reporting. The core function of StatView is to enable users to perform a wide range of statistical tests and procedures, including descriptive statistics, regression analysis, ANOVA, and more. The software is designed to be user-friendly and intuitive, making it accessible to both novice and experienced data analysts.
Automatically generated - may contain errors
Lab products found in correlation
R version 3, by R Project for Statistical Computing (3 mentions)
Prism 5, by GraphPad (3 mentions)
Spss statistics program, by IBM (2 mentions)
Pasw statistics version 19, by IBM (1 mentions)
Version 14, by MedCalc (1 mentions)
Stata version 12, by StataCorp (1 mentions)
Invivostat, by SAS Institute (1 mentions)
Prism 8, by GraphPad (1 mentions)
Spss 21, by IBM (1 mentions)
Prism 4.0c, by GraphPad (1 mentions)
Jmp version 10, by SAS Institute (1 mentions)
Jmp software version 10, by SAS Institute (1 mentions)
R version 2, by R Project for Statistical Computing (1 mentions)
Jmp version 14, by SAS Institute (1 mentions)
Ezr version 1, by R Project for Statistical Computing (1 mentions)
Spss statistics 22.0 for windows, by IBM (1 mentions)
Statistica 13, by StatSoft (1 mentions)
Basement membrane extract solution, by Bio-Techne (1 mentions)
164 protocols using statview version 5
1
Statistical Analysis of Cytokine Profiles in Parasitic Infections
2
Genotype Analysis in Autoimmune Liver Diseases
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All statistical analyses were carried out using StatView version 5 software (SAS Institute Inc., Carry, NC, USA). The genotype and allelic frequencies were compared using a chi-squared test of association (Pearson). The odds ratio (OR) and 95% confidence interval (CI) for each variable were also estimated. Analysis of genotype frequency in regard to the clinical characteristics and HRQoL assessment of PBC and AIH patients was performed using ANOVA with Fisher’s protected least significant difference (PLSD). Data are shown as medians (and ranges) for demographic data, and as means and standard deviations (SD) for continuous variables of assessing HRQoL. p-values of less than 0.05 were considered to be statistically significant.
3
Comparative Analysis of Anti-IL-17 Biologics
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Clinical indices among patients treated with different anti-IL-17 biologics were compared using analysis of variance followed by Bonferroni’s post hoc comparison tests and chi-squared tests. Student’s t-tests and chi-squared tests were performed to compare DIIP group and non DIIP group. A two-sided p<0.05 was considered statistically significant. All statistical analyses were performed with StatView, version 5 (SAS Institute Inc., Cary, NC, USA).
4
Analyzing Radiological and Bacteriological Severity
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Student’s t-tests, or Fisher’s exact tests were performed to compare clinical indices of radiologically severe disease (CT score≧10) and milder disease (CT score<10). Clinical indices of bacteriologically severe group (Gaffky score≧5) and milder disease (Gaffky score <5)were also compared. Regression analysis were performed to estimate the relationship between MDE and CT score, MDE and Gaffky scale. A two-sided p<0.05 was considered statistically significant. All statistical analyses were performed with StatView, version 5 (SAS Institute Inc., Cary, NC, USA).
5
Post-ESD Bleeding Risk Assessment
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Continuous variables are reported as means, standard deviation, and range, and categorical variables as frequency and percentage. Data for each drug-related group (single APT and DAPT groups) were compared with those for the no APT group. Qualitative variables were compared with Fisher’s exact test or the chi-squared test, and quantitative variables with the unpaired Student’s t test. To evaluate the risk for bleeding after ESD, univariate analysis with a log-rank test and multivariate analysis with a Cox proportional hazards regression model were used. To avoid type I statistical error, fewer than three variables with a P value of less than 0.05 in univariate analysis were examined in the Cox hazards model to identify independent factors associated with post-ESD bleeding. Data were analyzed with StatView Version 5 (SAS Institute, Cary, North Carolina, USA). Differences were considered significant at a P value of less than 0.05.
6
PiB Binding in Cortical Regions
7
Genetic Influences on Aggressive Behaviors
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Data analysis was performed using StatView version 5 (SAS Institute Inc.). Two-way ANOVA was conducted to examine the trial-by-trial change of aggressive behaviors in B6 and B6-Chr15 MSM, and to examine the effect of the genotypes of the resident and the intruder in the homogeneous and heterogeneous set tests. One-way ANOVA was conducted to examine the effect of the genotype of residents paired with OBX ICR male intruders, the effect of the genotype of individuals who were the source of urine applied to B6 intruders, and the effect of genotype in the panel of subconsomic strains or sub-subconsomic strains. In the case of a significant F value, Tukey-Kramer’s t-test was conducted in the homogeneous and heterogeneous set tests in order to compare each pair-type. For the analysis of subconsomic strains and sub-subconsomic strains, we conducted Dunnett’s t-test to detect significant strain differences in comparison with B6 in subconsomic strains and sub-subconsomic strains.
8
COVID-19 Risk Factors Analysis
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All statistical analyses were performed using StatView version 5 (SAS Institute, Inc, Cary, NC). All values are expressed as the means ± SDs or SEs. A P value of less than .05 indicated statistical significance. The factors associated with patient characteristics were analyzed using the Mann-Whitney U test, the Fisher exact test, or the χ2 test and the Kruskal-Wallis test. Univariate logistic regression was performed with the following variables as risk factors for COVID-19: sex (male), age, smoking, ACT score, BEC before biologic treatment, inhaled corticosteroid doses, maintenance OCS, and the number of vaccine doses. Multivariate logistic regression was then performed to evaluate the variables that achieved a P value of less than .20 in the univariate models.
9
Genetic Associations in Disease Cohort
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All statistical analyses were performed using StatView version 5 software (SAS Institute Inc., Carry, NC, USA). The differences in allele frequency and genotype distribution between case and control subjects were compared by a chi-square test of association (Pearson) and odds ratios (ORs) with 95% confidence intervals (95% CI) were calculated. Associations between genotyped variants and tested variables were analyzed using nonparametric Mann–Whitney test or with ANOVA test, as appropriate. Data were presented as medians (and ranges) for continuous variables, and p-values less than 0.05 were considered to be statistically significant. The genotype frequencies of the SOCS1 polymorphism were tested for consistency with Hardy–Weinberg equilibrium (HWE) using exact tests.
10
Kaplan-Meier Survival Analysis Protocol
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Statistical calculations were carried out using StatView® version 5 (SAS Institute, Cary, NC, US). Actuarial survivals were analysed by the Kaplan–Meier method. All variables that revealed a statistically significant difference on univariate analysis were entered into a Cox proportional hazards regression model for multivariate analysis. A p-value of <0.05 was considered statistically significant.
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