All statistical analyses were conducted using PASW Statistics 17 (SPSS Inc, Chicago, IL). Data are presented as mean ± SD or SEM. Statistical differences of gene expression and lipid accumulation were analyzed using one-way analysis of variance or two-tailed unpaired Student t test (PASW Statistics 17, SPSS Inc., Chicago, IL). Statistical significance was defined at P < 0.05.
Pasw statistics 17
Manufactured by IBM
Sourced in United States, United Kingdom
PASW Statistics 17.0 is a comprehensive statistical software package developed by IBM. It provides a range of data management, analysis, and reporting tools for researchers and analysts. The software offers a variety of statistical techniques, including regression, correlation, and multivariate analysis, to help users gain insights from their data.
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56 protocols using pasw statistics 17
1
Gene Expression and Lipid Accumulation Analysis
2
Risk Factors for In-Hospital VTE
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Continuous and categorical variables were presented as the median/interquartile range (IQR) and absolute numbers (percentage), respectively. Mann–Whitney U tests and χ2 tests were used to compare differences between cases and controls. Univariable and multivariable regression models were used to estimate relative risk (RR) with 95% confidence interval (CI) to evaluate the association between the incidence of in-hospital VTE despite prophylactic-dose heparin and demographic and clinical characteristics, as well as laboratory and radiological findings. The multivariable regression model was limited to variables with a p-value < 0.1. All statistical analyses were performed using PASW Statistics 17.0.2 (SPSS Inc., Chicago, IL, USA) for Windows.
3
Normality Testing for HLA-G Expression
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The Kolmogorov-Smirnov normality test was used to decide whether the analysis of the modulation of HLA-G expression levels, and their respective associations with the 3’UTR haplotypes, should be conducted with parametric or non-parametric tools. Because the data did not meet the assumptions of parametric tests, non-parametric analyses were accomplished. The two-tailed Mann-Whitney test was used to compare data between two sample groups, and the Kruskal-Wallis test followed by the Dunn’s multiple comparison post-test were used to compare data among three or more sample groups. These analyses were performed with the programs PASW Statistics (17.0.2) (SPSS Inc, Chicago, IL, USA) and GraphPad InStat 3.06 (GraphPad Software Inc, San Diego, CA, USA). For all instances, a 5% significance level was taken into account. All the graphs were constructed with the Minitab 17 Statistical Software (Minitab Inc, State College, PA, USA).
4
Elevated Factor XI Levels and DVT Risk
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Continuous variables were expressed as a mean (±standard deviation, SD) and/or range. Categorical variables were expressed as absolute numbers and/or percentages. Mann–Whitney U and chi squared tests were used to compare differences between cases and controls. Pearson’s correlation coefficient was used to measure the statistical association between two continuous variables. Univariable and multivariable regression models were used to estimate the odds ratio (OR) with a 95% confidence interval (CI) to evaluate the contribution of elevated FXI levels to DVT risk. The odds ratios were adjusted for BMI (analysed as a continuous variable) and other thrombophilias (noncarrier vs. carrier). In all analyses, the group with plasma FXI levels below the 90th percentile of the distribution among healthy controls served as the reference for the OR. Variables included in the multivariate model were age, sex, body mass index, FVIII (>250%), fibrinogen (>600 mg/dL), protein C (<60%), protein S (<60%), antithrombin (<70%), FV Leiden (noncarrier or carrier), and the prothrombin G20210A mutation (noncarrier or carrier). All statistical analyses were performed using PASW Statistics 17.0.2 (SPSS Inc., Chicago, IL, USA) for Windows.
5
Epidemiology of Fasciola in Yaks
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T. vitulorum fecal egg counts were summarized by their arithmetic mean and SD. The proportions of positive fecal samples were assessed among the 891 yak samples, as well as all factors (gender, geographical origin, fecal consistencies, and age). A multivariable logistic regression model was performed to explore variables potentially associated with exposure to T. vitulorum infection. Probability (P) value<0.05 was considered as statistically significant between levels within factors and interactions. Odds-ratios (OR) with 95% confidence intervals (CI) based on likelihood ratio statistics are reported. All statistical analyses were performed using the PASW Statistics17.0 (SPSS Inc., IBM Corporation, Somers, New York, USA).
6
Statistical Analysis of Macroinvertebrate Diversity
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Data analysis was conducted in Minitab 16 (Minitab Inc., PA., USA) and PASW Statistics 17.0 (SPSS Inc., IBM). All data were first tested for normality using the Anderson-Darling test and homogeneity of variance using Levene’s test. The most powerful parametric (t test, ANOVA or general linear model) or non-parametric (Mann-Whitney or Kruskal-Wallis) statistical tests were then used. All proportional data were arcsine transformed prior to comparisons. Macroinvertebrate diversity indices (species richness, Bray-Curtis D) were calculated using Species Diversity and Richness v2.65 (Pisces Conservation, Lymington), and analysis of similarity (ANOSIM using Bray-Curtis distance over 9999 runs) was calculated using PAST (Hammer et al. 2001 ).
7
Analyzing Urinary Findings in Elderly Ectopic Pregnancy Patients
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Statistical analysis was conducted by using chi-square tests with JSTAT (Java Virtual Machine Statistics Monitoring Tool). To examine whether older age (≥65 years) correlated with urine findings or EP-related symptoms in EP patients, we divided the patients into 2 groups by age, 65 years or older and 64 years or younger, and performed statistical analyses on the categories mentioned above. This is because 65 years is regarded as older age in this country. In addition, statistical analyses were conducted to examine whether pyuria or bacteriuria correlated to EP-related symptoms with p<0.05 considered to indicate statistical significance. These analyses were performed by use of univariate and multivariate analyses, and multiple regression analysis was performed by use of the PASW Statistics 17.0 (SPSS Inc., Chicago, IL, USA).
8
Statistical Analysis of Experimental Data
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Statistics were computed using PASW Statistics 17.0 (SPSS Inc., Chicago, IL, US). The data were analyzed by two-sided t test (two groups) or one-way analysis of variance (ANOVA) followed by Student-Newman-Keuls multiple comparison test (>2 groups). p-Values of less than 0.05 were considered significant. Data represent mean values ± SD.
9
Statistical Analysis of Experimental Data
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Statistics were computed using PASW Statistics 17.0 (SPSS Inc., Chicago, IL, USA) The data were analyzed by two-sided t-test (2 groups) or 1-way analysis of variance (ANOVA) followed by Student-Newman-Keuls multiple comparison test (>2 groups). P values of less than 0.05 were considered significant. The data are presented as the mean ± s.e.m.
10
Inflammatory Biomarkers and Cerebrovascular Disease
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We excluded 102 (20.1% of 508) participants with clinical stroke and repeated the analyses only among participants without clinical stroke. We also excluded 24 participants who developed incident dementia during follow-up and repeated the analysis for microbleeds and infarcts at follow-up. In addition, we examined whether certain regions were particularly vulnerable to inflammatory effects by examining WMH in the frontal, parietal, occipital, and temporal regions separately and by examining lobar and deep microbleeds separately. Finally, we examined the relationship between inflammatory biomarkers and CVD by race/ethnic groups, sex, and APOE status.
All analyses were performed using PASW Statistics 17.0 (formerly SPSS Inc., Chicago, IL). All p values were based on two-sided tests with the statistical significance level set at 0.05.
All analyses were performed using PASW Statistics 17.0 (formerly SPSS Inc., Chicago, IL). All p values were based on two-sided tests with the statistical significance level set at 0.05.
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