Between- and within-group differences in BS/BV, BV/TV, TbTh, TbN, and Vtr at 2 and 4 weeks after implantation were analyzed by the Mann-Whitney U test. All statistical analyses were performed using the statistical package PASW Statistics (Version 18.0, SPSS, Chicago, IL, USA). P values < 0.05 were considered statistically significant.
Pasw statistic
Manufactured by IBM
Sourced in United States, India
PASW Statistics is a statistical analysis software package developed by IBM. It provides advanced analytical capabilities for data processing, statistical modeling, and visualization. The core function of PASW Statistics is to enable users to effectively analyze and interpret data from various sources.
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Lab products found in correlation
Spss statistic, by IBM (5 mentions)
Instat, by GraphPad (1 mentions)
Sigmaplot, by Merck Group (1 mentions)
Sigmastat, by Merck Group (1 mentions)
Spss version 28, by IBM (1 mentions)
Prism 5, by GraphPad (1 mentions)
Sample size calculator, by Raosoft (1 mentions)
Simca p software, by Sartorius (1 mentions)
Xcalibur software, by Thermo Fisher Scientific (1 mentions)
Prism v5, by GraphPad (1 mentions)
Stata v14, by StataCorp (1 mentions)
Statistica 7, by StatSoft (1 mentions)
Spss version 19, by IBM (1 mentions)
Spss statistics for mac, by IBM (1 mentions)
Excel 2010, by IBM (1 mentions)
Prism 6, by GraphPad (1 mentions)
116 protocols using pasw statistic
1
Bone Structure Analysis After Implantation
2
Evaluating Lifestyle Interventions' Effects
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Changes over time in the continuous variables (HRQoL, ZSDS, BMI, weight) within each group were analysed using the paired Student’s t test and in categorical variables (Physical activity, vegetable intake) using the McNemar’s test (binary) or Marginal homogeneity test (multinomial), respectively.
Differences of changes between the two groups were determined with analysis of co-variance (ANCOVA), adjusting for the corresponding baseline values of HRQoL, ZSDS, BMI and weight. The statistical analysis was performed using PASW statistics (Version 18.0.2, Chicago: SPSS Inc; April 2, 2010). Two-sided p-values <0.05 were considered statistically significant.
Differences of changes between the two groups were determined with analysis of co-variance (ANCOVA), adjusting for the corresponding baseline values of HRQoL, ZSDS, BMI and weight. The statistical analysis was performed using PASW statistics (Version 18.0.2, Chicago: SPSS Inc; April 2, 2010). Two-sided p-values <0.05 were considered statistically significant.
3
Sedentary Behavior and Physical Function in Assisted Living
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We used conservative nonparametric statistics to compensate for skewed distributions and reported values of measures of sedentary behaviour (and physical activity) with medians and interquartile ranges (IQR). We used Spearman's rank correlation to test whether measures of sedentary behaviour (percentage of time spent in sedentary behaviour, average number and duration of sedentary bouts) were associated with age, length of time in AL, number of reported health concerns, and scores on the TUG, SPPB, gait speed, MoCA, GDS, and MFES tests. We used the Mann–Whitney U-test to test for differences in sedentary behaviour between men and women, and between those who did and did not use a mobility aid. We used multiple linear regression models to examine how the variability in our primary outcomes was explained by the combination of physical function (TUG), cognitive function (MoCA), psychosocial function (GDS, MFES), age, sex, use of a mobility aid, and number of health concerns. All statistical analyses were conducted with a significance level of alpha = 0.05 using PASW Statistics (SPSS Inc.).
4
Immune Competence in Frogs: Species Comparison and Bd-Exposure Effects
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Independent-samples t-tests were used to compare functional tests for immune competence in healthy frogs between the two species, between healthy and Bd-exposed frogs within each of the two species, and between infected L. caerulea with low Bd loads (<1,000 zoospores) and high Bd loads (>1,000 zoospores). Variables analyzed included skin PHA stimulation, serum IgY and combined serum IgM/IgY titers, total splenic cell count, splenic RFC count, splenic cell viability, ratios of kidney, liver and spleen to body weight, and various hematologic, plasma biochemical and protein electrophoretic parameters.
Paired-samples t-tests were used to compare various hematologic, plasma biochemical and protein electrophoretic variables pre- and post-immune stimulation within each experimental group (healthy and Bd-exposed) for each species.
The software package PASW Statistics (Version 18, 2009, SPSS Inc., Chicago, IL) was used for all analyses, and statistical significance was set at ≤0.050 in all cases.
Paired-samples t-tests were used to compare various hematologic, plasma biochemical and protein electrophoretic variables pre- and post-immune stimulation within each experimental group (healthy and Bd-exposed) for each species.
The software package PASW Statistics (Version 18, 2009, SPSS Inc., Chicago, IL) was used for all analyses, and statistical significance was set at ≤0.050 in all cases.
5
Quantitative Analysis of Cell Behavior
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Experimental data are presented as the mean ± SEM, unless indicated otherwise. Statistical analyses were performed using GEE (Generalized Estimated Equations) for viability, Kruskal-Wallis post-hoc Dunn for Polarity Index analysis, ANOVA post-hoc Student-Newman-Keuls (SNK) for actin quantification and ANOVA post-hoc Tukey HSD for migration speed in PASW Statistics (SPSS—version 18.0). ANOVA post-hoc Student-Newman-Keuls (SNK) for multiple comparisons was used for nuclear morphometric analysis in GraphPad INSTAT (GraphPad Software, San Diego, California, USA). From these analyses, P-values less than 0.05 were considered significantly different.
6
Quantifying Kindlin Expression and Survival
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Statistical calculations were performed using PASW Statistics (version 18.0; SPSS Inc.). The optimal cutoff point to categorize patients into high versus low Kindlins expression groups was determined by use of the receiver operating characteristic method. Survival distributions were estimated by the Kaplan Meier method, and the significance between survival rates was ascertained using the log-rank test. Multivariate analysis using Cox proportional hazards model was used to assess the independent contribution of each variable to metastasis-free survival.
7
Predictors of Asthma Control Assessed
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All continuous variables were evaluated for normality using Kolmogorov-Smirnoff or Shapiro-Wilk tests and are shown as mean ± standard deviation or median (IQ25% – 75%). ANOVA repeated measures were used to compare variables at three moments (B, W2, and W12) with Bonferroni’s correction. Unpaired t (independent groups) was used to analyse the measures between groups. Wilcoxon Signed-Rank and Mann–Whitney tests were used for non-parametric variable analysis. Categorical variables are presented as numbers and percentages and were analysed with the chi-square test. Correlations were performed using Pearson or Spearmen tests whenever appropriate. Multivariable logistic regression analysis was performed (C versus NC) with pre-defined relevant clinical variables (age, atopy, baseline ACQ, baseline FEV1 and asthma duration) to try do identify predictors of asthma control. The statistical package Sigma Stat version 3.5, Sigma Plot version 10, and PASW Statistics (SPSS) version 18 were used for statistical analysis. Statistical significance was considered p < 0.05.
8
GERD Risk Factors Statistical Analysis
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Statistical analysis of the data was carried out using SPSS version 16 for Windows (PASW Statistics; SPSS Inc., Chicago, IL, USA). For all continuous variables, median and range were presented and X2 was performed to test associations of categorical variables. Mann-Whitney U test and student t test were used for comparing means of variances between the two groups. The association of GERD with specific risk factors was reported as odds ratio (OR) and 95% CI, using a logistic regression model that “no reflux” was the reference category. Univariate logistic regression was performed to evaluate the association between GERD and dietary items. Furthermore, the associations were assessed based on fitting multiple logistic regression models adjusted for BMI and education level. All calculated P values were two-sided and P values less than 0.05 were considered statistically significant.
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Statistical analysis of the data was carried out using SPSS version 16 for Windows (PASW Statistics; SPSS Inc., Chicago, IL, USA). For all continuous variables, median and range were presented and X2 was performed to test associations of categorical variables. Mann-Whitney U test and student t test were used for comparing means of variances between the two groups. The association of GERD with specific risk factors was reported as odds ratio (OR) and 95% CI, using a logistic regression model that “no reflux” was the reference category. Univariate logistic regression was performed to evaluate the association between GERD and dietary items. Furthermore, the associations were assessed based on fitting multiple logistic regression models adjusted for BMI and education level. All calculated P values were two-sided and P values less than 0.05 were considered statistically significant.
9
Quantifying Metabolic Interactions in Cells
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All data are presented as mean ± SD calculated with conventional methods. Data was tested for normality using the Shapiro-Wilks test. The Mann-Whitney's U test for independent observations was performed to compare differences between groups. Correlations were performed on natural log transformed data using PASWstatistics (SPSS Inc). A p-value <0.05 was considered to be statistically significant.
10
Correlation of GP and HFA EDS Values
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Data are presented as mean ± standard deviation where applicable. A comparison between EDS values obtained with GP (GP-EDS) and HFA (HFA-EDS) was made in Japanese subjects with visual impairments. Subjects were striated by disease and the correlation between GP-EDS and HFA-EDS values was re-examined using Spearman correlation coefficients. Regression and residual analyses of GP-EDS and HFA-EDS were also performed. All statistical analyses were performed using PASW Statistics (version 17.0, SPSS, Inc., Chicago, IL, USA) and statistical significance was defined as P < 0.05.
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