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Pasw ver 18

Manufactured by IBM
Sourced in United States

PASW ver. 18.0 is a data analysis software product. It provides tools for data management, statistical analysis, and visualization. The software is designed to assist users in working with various data types and formats.

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Lab products found in correlation

18 protocols using pasw ver 18

1

Statistical Analysis of Cancer Recurrence

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PASW ver. 18.0 (IBM Co., Armonk, NY, USA) was used for statistical analyses. Categorical variables were compared using the chi-square test, and continuous data were compared using the Student's t-test or the Mann-Whitney U-test. Data were presented as mean±standard deviation values. Recurrence-free survival curves from the time of primary surgical treatment to the final follow-up assessment were calculated (in months) using the Kaplan-Meier method. For multivariate analysis, we included variables that were P<0.20 in the univariate analysis. A P-value of 0.05 was considered significant.
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2

Comparing Ileostomy and TAT Techniques

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To compare the three groups, the Fisher exact test was performed for categorical data, and the analysis of variance test was performed for continuous data. When there was a significant difference, the Sceffe or Games-Howell method was adopted for inter-group analysis. Non-inferiority of the TAT in preventing AL compared to loop ileostomy was tested with the independent t test. Statistical significance was defined as P < 0.05. IBM PASW ver. 18.0 (IBM Co., Armonk, NY, USA) was used for the statistical program.
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3

Neurocognitive Functioning in Brain Tumor Patients

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PASW ver. 18 (SPSS Inc., Chicago, IL) was used for all analyses. All test scores were compared to age-matched standardized normative values using t tests. The effects of clinical factors on neurocognitive and psychological functioning were analyzed using t tests or analysis of variance (ANOVA). Differences in neurocognitive and psychological functioning between tumor locations were examined using ANOVA and χ2 tests. The changes in neurocognitive functioning between T1 and T2 were examined using repeated-measures ANOVA and the differences between T1 and T2 were analyzed using pairwise comparison tests according to the tumor location. Statistical significance was defined as p-values of < 0.05.
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4

Statistical Analysis of Group Comparisons

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PASW ver. 18 (SPSS Inc., Chicago, IL, USA) was used for the analysis. p<0.05 were considered significant when comparing two groups, using the Mann-Whitney U test and Fisher's exact test. To compare three groups, the Kruskal-Wallis test was used. When there was a significant difference, the Mann-Whitney U test was used to compare two groups with a significant difference, defined as a p-value <0.017, using the Bonferroni adjustment.
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5

Comparative Survival and Toxicity Analysis

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Fisher exact test was applied to determine associations between categorical variables. The Kaplan-Meier method was used in univariate analysis of survival outcomes and the results were compared using the log-rank test. The toxicity profile was compared using Fisher exact test, and in the case of numeric variables including cumulative toxicity score, the Wilcoxon rank-sum test was performed to examine statistical differences in the sum of the scores between groups (PASW ver. 18, SPSS Inc., Chicago, IL).
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6

Statistical Analysis of Social Data

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All statistical analyses were performed using the Statistical Package for Social Sciences software (PASW ver. 18, SPSS Inc., Chicago, IL, USA). The data were analyzed using the Kruskal-Wallis test or the Mann-Whitney test as indicated. The correlation test was performed by the parametric Pearson's test. Results were considered significant when the p-value was <0.05.
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7

Survival Analysis of Patient Outcomes

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Categorical variables were compared with the Pearson’s chi-square test or Fisher exact test, as appropriate. PFS and OS were calculated using the Kaplan-Meier method. The log-rank test was used to compare the probability of survival between subgroups. Multivariate analysis was performed using the Cox proportional hazards model, and hazard ratios were calculated using a 95% confidence interval. Two-sided p-values of < 0.05 were considered significant. All analyses were conducted using the PASW ver. 18.0 software package (SPSS Inc., Chicago, IL).
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8

Retrospective Analysis of Angioleiomyoma Cases

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We retrospectively analyzed the medical records of 16 patients with angioleiomyoma who were treated in our hospital between March 2000 and July 2012. All patients underwent simple excision of the tumor. Diagnoses were based on the results of a pathological examination of the specimens. The surgical specimens were stained with hematoxylin and eosin stain. Variables selected for the analysis were age, sex, anatomic location, size, symptoms, preoperative diagnosis, coexisting disease, and recurrence. The follow-up period ranged from 6 to 18 months. Patient characteristics were analyzed using PASW ver. 18.0 software (SPSS Inc., Chicago, IL, USA), and the significance of differences was determined through nonparametric methods, namely, the Mann-Whitney U Test and the Wilcoxon W test to identify differences between patients' demographic data and the chi-squared test in order to determine whether differences between histological findings and clinical presentations were significant. A P-value of less than 0.05 was considered statistically significant.
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9

Corneal Endothelial Cell Outcomes in Glaucoma Surgery

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PASW ver. 18.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis of all data. The Mann-Whitney U-test was used to compare age, history of intraocular surgery or laser treatment, preoperative and postoperative IOP at 6 months and 12 months after surgery, the number of glaucoma medications, the CECD, the percentage of hexagonal cells, and the coefficients of variation of cell areas between the AGV implantation and trabeculectomy groups. The chi-square test was used to evaluate differences in sex, diabetes, and hypertension between the two groups. The Wilcoxon's signed-rank test was used to compare changes in the CECD, percentage of hexagonal cells, and the coefficient of variation of cell areas before and after surgery. The Kaplan-Meier survival curve and the log-rank tests were used for survival analyses to assess patients whose postoperative corneal endothelial cells were reduced by 10% or less compared to preoperative levels. A univariate linear regression analysis was performed to identify variables associated with large amounts of CECD reduction. The Pearson's correlation coefficient was calculated to compare preoperative and postoperative CECD at 12 months in each group. A p-value less than 0.05 was considered statistically significant.
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10

Renal Length Across Age Groups

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Data were analyzed by PASW ver. 18.0 (SPSS Inc., Chicago, IL, USA). Differences in variables between the groups were compared using independent t-test, and the correlations between age and renal length were obtained using regression analysis and Pearson correlation analysis. The relationship between whole age group and renal length was assessed by power regression model. Using R2 as the criterion for comparing and choosing linear and nonlinear fashion, renal length less than 1 year old were statistically analyzed using a nonlinear model described; The group of 1 year of age or older was analyzed using a linear regression model of the general form y=ax+b. Values with P<0.05 were considered statistically significant.
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