PASW 17.0 software (IBM, Chicago, IL, USA) was used to perform the Mann–Whitney U test and the Pearson’s χ2 test. All the tests were two-tailed, and P values < 0.05 were considered statistically significant.
Pasw 17
Manufactured by IBM
Sourced in United States
PASW 17.0 is a statistical software package developed by IBM. It provides tools for data analysis, manipulation, and visualization. The software offers a range of statistical procedures and techniques for researchers and analysts to manage and interpret data.
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10 protocols using pasw 17
1
Statistical Analysis of Data
2
Factors Influencing Oral Cenesthopathy Outcomes
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Mann–Whitney U test and chi-square test were used for comparing each variable. A chi-square test was used for the association between the trigger of oral cenesthopathy and the phase of depression. Logistic regression analysis was performed to detect the clinical factors for a good outcome. Sex, age at the time of onset, duration of illness, expression of the symptom, psychiatric history, and trigger of the symptom were selected for inclusion in the binomial logistic regression analysis. All analyses were performed with PASW 17.0 software (IBM Corporation, Armonk, NY, USA). p-values of <0.05 were considered as statistically significant.
3
HLA-DQ2 and DQ8 Prevalence in Spanish Population
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According to the published data, the prevalence of HLA-DQ2 and DQ8 in the Spanish general population is about 30%[8 (link)]. Therefore, considering a 95% confidence level (type I error of 0.05, and 0.8 statistical power), we needed a sample size of 323 patients to detect significant differences between groups.
Statistical analysis was done using the PASW 17.0 software (SPSS Inc, Chicago, IL, United States), Microsoft Office Excel 2003 and STATGRAPHICS Plus (version 5.1). We calculated the absolute and relative frequencies of the different variables. We considered significant a P value of less than 0.05. Statistical methods used were: χ2 test, logistic regression to calculate the odds ratio (OR), and ANOVA tests. The attributable risk was measured using the phenotypic frequency, relative risk (RR), etiologic fraction -EF: risk that genes can confer for the development of a disease- (for RR > 1) and preventive fraction -PF: protection that genes confer- (for RR < 1).
The Holm-Bonferroni correction was used to determine if the relationship between an allele or a group of alleles with a disease (or phenotype expression) was true, when multiple determinations were made.
Statistical analysis was done using the PASW 17.0 software (SPSS Inc, Chicago, IL, United States), Microsoft Office Excel 2003 and STATGRAPHICS Plus (version 5.1). We calculated the absolute and relative frequencies of the different variables. We considered significant a P value of less than 0.05. Statistical methods used were: χ2 test, logistic regression to calculate the odds ratio (OR), and ANOVA tests. The attributable risk was measured using the phenotypic frequency, relative risk (RR), etiologic fraction -EF: risk that genes can confer for the development of a disease- (for RR > 1) and preventive fraction -PF: protection that genes confer- (for RR < 1).
The Holm-Bonferroni correction was used to determine if the relationship between an allele or a group of alleles with a disease (or phenotype expression) was true, when multiple determinations were made.
4
Metabolic Syndrome and Lung Function Changes
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Data are expressed as means ± SDs or medians (25th– 75th percentile). Metabolic risk factors, prevalence of diabetes, and other clinical characteristics were compared between subjects with and without MS after six years of follow-up. The one way ANOVA was used to compare continuous variables and the chi-square exact test was used to detect differences between groups.
Pearson’s correlation analysis was used to generate correlation coefficients between the percent change in FVC or FEV1 during follow-up, baseline FVC or FEV1, and MS components at baseline and MS components after 6 years of follow-up were calculated for all patients. Logistic regression analyses were performed to estimate odds ratios (ORs) with 95% confidence intervals (CIs) for MS development after adjusting for other variables. The ORs for MS development were calculated for each SD decrement in the percent change of FVC or FEV1 after adjusting for other variables. Statistical analyses were performed using PASW 17.0 software (SPSS, Inc., Chicago, IL, USA), and P-values < 0.05 were considered statistically significant.
Pearson’s correlation analysis was used to generate correlation coefficients between the percent change in FVC or FEV1 during follow-up, baseline FVC or FEV1, and MS components at baseline and MS components after 6 years of follow-up were calculated for all patients. Logistic regression analyses were performed to estimate odds ratios (ORs) with 95% confidence intervals (CIs) for MS development after adjusting for other variables. The ORs for MS development were calculated for each SD decrement in the percent change of FVC or FEV1 after adjusting for other variables. Statistical analyses were performed using PASW 17.0 software (SPSS, Inc., Chicago, IL, USA), and P-values < 0.05 were considered statistically significant.
5
Weight Changes After Thyroidectomy
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A paired t test or Wilcoxon signed rank test was used for comparing changes at baseline, as well as 1 to 2 years and 3 to 4 years post-thyroidectomy. The Mann-Whitney test or Student t test was used to compare median and mean between the group with thyroid cancer and the control group. A one-way analysis of variance (ANOVA) with Tukey post hoc test or Mantel-Haenszel chi-square test was used for comparisons between the three groups of patients categorized according to weight gain. Correlations between weight gain and variables such as age at surgery, TSH levels, and T3 levels were analyzed using Spearman correlation test. A one-way ANOVA with Tukey post hoc test was used to compare weight change between different age groups in female thyroid cancer patients (<40 years [n=69], 41 to 45 years [n=63], 46 to 50 years [n=51], 51 to 55 years [n=75], and >55 years [n=95]). All statistical analyses were performed using PASW 17.0 software, version 9.1.3 (SPSS Inc., Chicago, IL, USA). P values less than 0.05 were considered significant.
6
Evaluating Physiological Responses to Stimuli
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Task effects on subjective ratings and SC data were analyzed using two-factorial ANOVAs with the two within-subjects-factors stimulus type and frequency, with the exception of authenticity ratings which were available for the heartbeat condition only (one-factorial ANOVA). Pearson correlations were computed between estimated ß-values and behavioural measures indicating trait (ASI) and state (subjective arousal and AMP.NS.SCR during H100 presentation) arousal processes. Bonferroni-corrections were applied to correlations to account for multiple testing. A level of α < 0.05 indicated statistical significance. Analyses were conducted in PASW 17.0 (SPSS Statistics, Armonk, NY, USA).
7
Evaluation of Psychosocial Risk Factors
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Data was analyzed using PASW 17.0 statistical software package (SPSS Inc., Chicago, IL). Descriptive analysis was performed on demographic data (age, gender), number of patients effectively screened for PSRFs, number of patients positively screened for PSRFs, number of patients with identified PSRFs by screening attending a psychological counseling. T- and Spearmen X2- tests were performed on continuous and categorical variables respectively to assess demographic and psychosocial differences between patients who participated in at least a single psychological counseling session and those who did not. Cronbach’s Alpha was used to evaluate internal consistency of each of the PSRFs scales (Table 1 ). In addition, we evaluated whether the presence of PSRFs differed by gender and age.
8
VO2max Measurement and Analysis Protocol
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Samples size was estimated for VO2max as primary outcome measure using IBM SPSS SamplePower. The principal outcome variable VO2max were analysed between groups using a linear model with correction for baseline value (ANCOVA) [18] (link), and within groups comparisons were done using paired samples T-test. Values are expressed as mean and standard deviation (SD). A two-tailed significance-level of p<0.05 was acknowledged as statistical significant. All analyses were done by PASW 17.0 (SPSS Inc, Chicago). At five occasions a subject was unavailable for testing. Because of the Gaussian behaviour of the data and the low number of missing values, these time points were estimated by an imputed value using Missing Value Analysis (PASW 17.0) to complete the dataset [19] (link).
9
Fibroblast Proliferation Response to 1,25D
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Proliferation of CO and MUT fibroblasts in response to 1,25D or vehicle was analyzed by two methods—direct automated cell counting in trypan blue exclusion assays and indirect cell viability assays through colorimetric analysis of media formazan content. Analyses were performed 4, 7, 10, or 14 days after cell seeding, and treatment media containing 1,25D or vehicle were changed on D4, D7, and D10. For the cell counting assay, cells were seeded at 104 cells/well (6-well plates) and counted at fixed time points in a Countess™ automated cell counter (Life Tech) following exposure to 0.2% trypan blue. For the colorimetric analysis of formazan generation, cells were seeded at 103 cells/well (96-well plates), and the CellTiter 96® AQueous One Solution cell proliferation assay (Promega, Madison, WI, USA) was used at fixed time points. Following a 2 h incubation with the reagent, absorbance at 450 nm was read using a GloMax®-Multi+ Detection System (Promega). All experiments were performed at least three times in triplicates. Statistical analysis with one-way ANOVA and post hoc pairwise comparison by Tukey’s procedure was performed using PASW 17.0 (SPSS Inc., Hong Kong, China); significance level was set at 0.05.
10
Cardiac Hemodynamics in Hypertrophic Cardiomyopathy
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