Frequencies of the variables were calculated and statistical analyses performed with PASW Statistical Software version 18 (SPSS Ltd, Quarry Bay, Hong Kong). Due to the skewed distribution of the total amount of bacterial and human DNA, they were converted into logarithmic values. One-way ANOVA was used to calculate the associations between bacterial findings and clinical parameters.
Pasw statistical software version 18
Manufactured by IBM
Sourced in United States
PASW Statistical Software version 18 is a comprehensive data analysis and predictive modeling software. It provides a wide range of statistical and analytical tools for researchers, analysts, and businesses to explore, analyze, and interpret data.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using pasw statistical software version 18
1
Bacterial DNA Analysis and Clinical Outcomes
2
Statistical Analysis of Clinical Outcomes
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All analyses were performed using PASW statistical software version 18 (SPSS Inc., Chicago, IL, USA). Differences in categorical variables between the two groups were determined using Pearson's Chi-square or Fischer's exact test. The Mann-Whitney U test was used to compare the means because of non-normality in the distribution. DSS and OS were compared by the log-rank test. All tests were two-sided, and the results were considered significant at p < 0.05.
3
EGFR-TKI Retreatment Protocol Analysis
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The initial progression free survival (1st PFS) was defined as the interval between the beginning of EGFR-TKI and the progression time. Likewise, 2nd PFS was defined as the period from the start of TKI retreatment to the date at which disease progression or death was noted. OS was defined as the period from the start of TKI retreatment to the date of death. Objective response rates (ORRs) were defined as (complete response [CR]+ PR)/whole patients; Disease control rates (DCRs) were defined as (CR+PR+SD)/whole patients. The comparison in different groups was performed using the χ2 test or Fisher's exact test as needed. PFS and OS were analyzed by the Kaplan-Meier method and the log-rank test was used to compare the difference within different groups. Multivariate Cox proportional hazards regression model was used to evaluate independent predictive factors associated with 2nd PFS. A two-sided P value of less than .05 was considered statistically significant. All analyses were conducted using PASW statistical software, version 18.0 (SPSS Inc., Chicago, IL).
4
Respiratory Virus Detection and Genotyping
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All statistical data analyses were carried out using PASW statistical software version 18.0 (SPSS Inc.). Significant differences between groups were evaluated using chi-square tests when it was possible, or Fisher’s exact tests when values were smaller than 25. Associations of demographic and clinical features of children with a) RV detected versus other respiratory virus and, b) RV-A versus RV-C, were examined using logistic regression. To determine the 5′-genotypes that were significantly enriched for RV-A or RV-C, the probability of randomly selecting different viral strains in each 5′-genotype was calculated by a combinatorial approach. In all statistical analysis p-values <0.05 were considered statistically significant.
5
Comparative Analysis of Continuous and Categorical Variables
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Comparisons of continuous variables were conducted by Student's t-test. Categorical variables were compared using Pearson's χ2 test. A 2-tailed significance value of 0.05 was used. All statistical analyses were performed using PASW statistical software, version 18 (IBM Co., Somers, NY).
6
Survival Analysis of HER2 Status
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According to the study method, the Institutional Ethics Committee of the Kosin University Gospel Hospital approved the collection of survival information, for the 139 patients. Patients were asked to return for follow-up every 6 months for oncological assessment.
Data analysis was conducted using PASW Statistical Software version 18 (IBM Co., Armonk, NY, USA). The chi-squared test and Kruskal-Wallis test were carried out to compare the distributions of HER2 status and clinicopathological factors. The chi-squared test and the logistic regression test were used to investigate the association between HER2 status and each clinicopathological variable. Survival analysis was carried out using the Kaplan-Meier method and multivariate survival analysis was conducted using COX proportional hazards regression models. All significance tests were two-sided and a P-value of <0.05 was considered statistically significant.
Data analysis was conducted using PASW Statistical Software version 18 (IBM Co., Armonk, NY, USA). The chi-squared test and Kruskal-Wallis test were carried out to compare the distributions of HER2 status and clinicopathological factors. The chi-squared test and the logistic regression test were used to investigate the association between HER2 status and each clinicopathological variable. Survival analysis was carried out using the Kaplan-Meier method and multivariate survival analysis was conducted using COX proportional hazards regression models. All significance tests were two-sided and a P-value of <0.05 was considered statistically significant.
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