Selected descriptive methods and methods of statistical inference were applied to analyze the data. The first step was to use descriptive statistics for all quantitative parameters of the interpreted variables. The arithmetic mean (M) and standard deviation (SD) were calculated, and the symmetry of the distribution was verified. The normality of the distribution was checked using the Shapiro-Wilk test and the Lilliefors test. They allowed the hypothesis of normality of distribution to be rejected (p < 0.001). The Mann-Whitney U test was used to assess differences between independent variables, while the Wilcoxon signed-rank test was applied for dependent variables. Spearman’s rank correlation coefficient served to evaluate the correlations between the analyzed variables. In the conducted analyses, the adopted level of significance was p < 0.05 [28 ]. All statistical calculations were performed using STATISTICA PL software (version 13.1, StatSoft, Cracow, Poland).
Statistica pl software
Manufactured by StatSoft
Sourced in Poland, United States
Statistica PL is a software package designed for statistical analysis and data modeling. It provides a range of tools and functionalities for handling and processing data, including data manipulation, exploratory analysis, and advanced statistical techniques.
Automatically generated - may contain errors
Lab products found in correlation
13 protocols using statistica pl software
1
Statistical Analysis of Quantitative Data
2
Analyzing Hindlimb Morphometry via Imaging
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The statistical analysis was performed using Sta-tisticaPL software (StatSoft ® , Poland). The following test were used: Shapiro-Wilk test to determine the normality of the data distribution, Student's t test to determine differences between results obtained from each hindlimb and differences between measurements obtained from longitudinal and transverse images, ANOVA test to determine differences between the measurements at various distance from the calcaneal tuber, Pearson's test to assess the correlation between the variables. The level of statistical significance was set at p £ 0.05.
3
Diastolic Dyssynchrony and Exercise Capacity
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Categorical variables were described as counts and percentages and continuous variables as means ± standard deviations or median and interquartile range. the unpaired Student’s t-test was used for normally distributed variables, the Mann-Whitney U-test for non-normally distributed continuous data, and the χ2 test for categorical data to compare patients with and without diastolic dyssynchrony. With the use of univariate regression analysis the association between VO2peak (dependent variable) were examined and its potential modifiers (independent variables) including age, sex (0 — male, 1 — female), HF etiology (0 — DCM, 1 — ICM), serum hemoglobin level, PR interval, QRS duration and morphology (0 — non-left bundle branch block [LBBB], 1 — LBBB), markers of the LV systolic (LVEF) and diastolic function (E/e′ ratio), the presence of rest and exercise diastolic and systolic dyssynchrony (0 — not present, 1 — present) and the presence of exercise-induced diastolic resynchronization and exercise-induced dyssynchronization. Significant associations were further adjusted the for age and etiology. The significance level was set at p < 0.05. Statistical analyses were performed with Statistica PL software (StatSoft, Inc. 2017, STATISTICA, data analysis software system, version 13.1; www.statsoft.com ) and MedCalc version 11.6.1.0 (MedCalc Software, Mariakerke, Belgium).
4
StatSoft Statistica PL Software Usage
5
Statistical Analysis of Experimental Data
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Data were processed using STATISTICA.PL software (StatSoft). The Mann-Whitney U test, Spearman test, Student’s t-test and chi-square test (χ2) were used for statistical analysis. Results were presented as means (x) and their standard errors (SE). The level of significance was adopted at p < 0.05.
6
Cytotoxicity Evaluation of Novel Compounds
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Statistics were calculated using STATISTICA.PL software v.12.5 (StatSoft, Poland) [33 (link)], and the viability curves were prepared using GraphPad Prism 5.0 software (GraphPad Inc., San Diego, CA, USA). All measurements were performed at least in duplicate with n = 3–6; a p value of 0.05 was considered significant. The data were expressed as the mean ± SD. Statistical significance was evaluated using Student’s t-test or one-way ANOVA followed by Tukey’s test.
7
Analyzing Right Heart Hypertrophy via PH-ECG
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Statistical analysis was performed with Statistica PL software (version 13, STATSOFT, Tulsa, OK, USA). Continuous variables with normal distribution were presented as means and standard deviations, while those that were not normally distributed were presented as medians and interquartile ranges. Dependent Student’s t-test or Wilcoxon test was applied to compare the continuous variables before and after interventional treatment with BPA (depending on the distribution of the analysed variable assessed using the Shapiro–Wilk test). McNemar’s test was used to compare nominal variables. Mann–Whitney U or Student’s t-test and chi-square tests were applied to compare baseline parameters in both study groups (derivation and validation cohort). The sensitivity and specificity, positive and negative predictive values, and the ROC curve of the PH-ECG score, which was defined as the sum of four statistically significant ECG parameters of hypertrophy and overload of the right heart, were determined. Statistical significance in the study was established at p < 0.05.
8
Hemodynamic Changes in CTEPH and PAH
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Statistical analyses were performed with STATISTICA PL software (version 13; STATSOFT). Due to the small number of patients in one of the analyzed groups, all the variables were presented as median and interquartile range (IQR). Comparative analyses of the individual groups were conducted using Wilcoxon test. Mann–Whitney U test was applied to confirm compliance of baseline hemodynamic parameters with functional parameters in both study groups (CTEPH and PAH) and to compare changes in the values of hemodynamic parameters between the two groups after dedicated specific therapy. McNemar's test was conducted to compare the nominal variables. Spearman's correlation coefficient (for selected parameters Spearman correlation coefficient adjusted for follow‐up time) was calculated to study the correlation between ECG and hemodynamic parameters. In the entire study, the p‐value of <.05 was considered statistically significant.
Spearman correlation coefficient adjusted for follow‐up time.
Spearman correlation coefficient adjusted for follow‐up time.
9
Cytotoxicity Analysis of AI Systems
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The data were presented as mean ± standard deviation from two independent experiments performed in duplicate. A one-way analysis of variance ANOVA with Tukey’s post hoc test at the significance level P < 0.05 was performed. The linear regression analysis was used to examine pairwise correlation between the AI, cytotoxicity, the Pearson correlation coefficient was determined. P values of <0.05 were considered statistically significant. The statistical analysis was performed using Statistica PL software (StatSoft Poland Inc., USA).
10
Statistical Analysis of Experimental Values
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The examined values were expressed as the mean (SD) and compared using the analysis of variance (ANOVA) and Student’s t-test with the STATISTICA PL Software (StatSoft, Poland) and the differences were considered as significant at p < 0.05.
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