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Pasw statistics ver 18

Manufactured by IBM
Sourced in United States, Japan

PASW Statistics ver. 18.0 is a software package for statistical analysis. It provides tools for data management, analysis, and presentation.

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Lab products found in correlation

68 protocols using pasw statistics ver 18

1

Vertical Cup-to-Disc Ratio Analysis

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Statistical analysis was performed using a statistical software program (PASW Statistics ver. 18.0; SPSS Inc., Chicago, IL, USA). Mean vertical CDR for both eyes was 0.34 ± 0.12 (p = 0.218). Additionally, the vertical CDR in right eyes was correlated with that of left eyes (r = 0.825, p < 0.001). Therefore, we analyzed only data from right eyes in our assessment.
A one-way analysis of variance model was used to compare mean vertical CDRs for each age group. Student's t-tests were performed to confirm statistical differences in mean vertical CDRs of males and females in each age group. Analysis of covariance models were used to estimate the differences in mean vertical CDR of each quartile of systemic predictors, which were adjusted for age and sex. Multiple linear regression models were used to assess independent associations between CDR and risk factors.
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2

Spinal Alignment Analysis Across Ramp Conditions

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PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used to determine the significance of the differences in the spinal alignment values of each ramp condition. A one-way repeated measures analysis of variance was used to determine the effects of each ramp condition on the spinal alignment data. In all analyses, P<0.05 was taken to indicate statistical significance.
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3

Statistical Analysis of Variables

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Statistical analyses were performed with the PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA). Continuous variables were analyzed by the Student t test or the Mann-Whitney U test, and categorical variables were analyzed with the chi-square test or the Fisher exact test. P<0.05 was considered statistically significant.
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4

Hepatitis B Biomarkers and Outcomes

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Comparative analysis of HBsAg, HBcAg, and HBx expression with clinicopathologic parameters was assessed using the chisqaure test. Survival analysis was performed using the Kaplan-Meier method. The results were considered statistically significant when p-values were <.05. All calculations were performed using the PASW statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA).
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5

Protocol for Statistical Analysis

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All experiments were conducted using three biological replicates and results were represented as means ± standard deviation (SD) (n = 3). In Figure 4, Figure 5 and Figure 7, for a comparison of more than two groups, data were analyzed using one-way analysis of variance (ANOVA), followed by Duncan’s multiple range test. Statistical significance was considered at p ≤ 0.05. Statistical analyses were conducted using PASW Statistics (ver. 18.0; SPSS Inc., Chicago, IL, USA).
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6

Gender Differences in Soccer Injuries

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PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used to determine difference of the number of sports injury and movement dysfunction according to gender of youth soccer players. An independent t-test was applied to compare the differences between the two groups. All values are expressed as mean±standard deviation. P<0.05 was considered significant.
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7

Analyzing Prostate Cancer Cell Markers

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The chi-square test was used to analyze HSP27- and c-FLIP-positive reaction rates, GSS, and pathologic stage in prostate cancer cells. Analysis of variance was used for correlation analysis of the average reaction scores of HSP27 and c-FLIP, GSS, and pathologic stages. A Duncan test was used to compare multiple groups. Chi-square test was used to analyze the correlation between HSP27 and c-FLIP expression, GSS, and pathologic stage. Logistic regression analyses were performed to analyze the association of each clinical variable with expression of HSP27 and c-FLIP. The statistical software program PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis.
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8

Statistical Analysis of Lung Cancer Factors

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PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL) was used for statistical analysis. Chi-square test was used to evaluate treatment and prognostic factors for LC. Survival and LC rates were calculated using Kaplan-Meier estimation. The log-rank test was used for group comparisons. A Cox proportional hazards model was used to clarify independent predictive factor in multivariate analysis. Statistical significance was defined as a p-value of < 0.05.
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9

Exploring Tear Osmolarity and Ocular Indices

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PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. The Kolmogorov-Smirnov test was used to test the normality of the distributions of all variables; all variables showed a normal distribution. Pearson correlation analysis was used to examine the relationships between tear osmolarity and ocular indices. A t-tests were used to compare the normal and abnormal osmolarity groups, and the MMP-9 positive and negative groups. One-way analysis of variance (ANOVA) and Bonferroni post-hoc corrections were used to investigate differences in DE indices between the four groups. Interaction between tear osmolarity and MMP-9 was evaluated with two-way ANOVA. In all tests, a p-value <0.05 was considered statistically significant.
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10

Statistical Analysis of Exhaled Nitric Oxide

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For statistical analysis, PASW Statistics ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used. Quantitative values were expressed as means and standard deviations or as medians from minimum to maximum. Analysis of variance was conducted for comparison between groups for parametric variables, and the Kruskal–Wallis test was conducted for non-parametric variables. The Bonferroni test was used for post-hoc analysis. In the association analysis, Pearson correlation was used for parametric variables and Spearman correlation was used for non-parametric variables. Receiver-operating characteristic curve analysis was used to obtain the exhaled nitric oxide cutoff value corresponding to the highest sensitivity and specificity. A p value of less than 0.05 was considered statistically significant.
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