Data were analyzed using the SPSS version 21.0 Statistical package (SPSS Inc., Chicago, IL, USA). Quantitative and qualitative data were presented as Mean ± SD, Median [ maximum, minimum] and frequency (percentage). Normality of continuous data was evaluated using Kolmogorov-Smirnov test. Independent t-test was used for comparing data between groups. Qualitative data were compared between groups using chi-square test and fisher exact test. Pearson correlation were used to investigate the correlations between duration of the treatment, cumulative dose and Vessel Density, FAZ Area, Flow Area based. Statistical significance level was set at P < 0.05.
Spss version 21.0 statistical package
Manufactured by IBM
Sourced in United States
SPSS version 21.0 is a statistical software package developed by IBM. It provides a range of tools for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. The software is designed to help users analyze and interpret complex data sets.
Automatically generated - may contain errors
Lab products found in correlation
8 protocols using spss version 21.0 statistical package
1
Correlation of Anti-VEGF Treatment Outcomes
2
Diastolic Dysfunction Diagnostic Protocol
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Categorical variables were summarized in absolute and relative frequencies. The normal distribution of continuous variables was evaluated with the Kolmogorov–Smirnov test. They were normally distributed and therefore were expressed as mean ± standard deviation (SD). For the bivariate analysis, the dependent variable was the result of the diastolic test (positive/negative); Pearson’s Chi-square test was used to measure the association with the categorical independent variables and Student’s t-test was performed for quantitative independent variables. Chi-square was used to determine the association between the H2FPEF score and the diastolic test results. Demographic and clinical data processing was performed using the SPSS® version 21.0 statistical package.
The study was conducted according to the rules of the Declaration of Helsinki and was approved by relevant ethical committees and/or regulatory bodies in participating hospitals. All patients gave written informed consent to participate, in accordance with national and local regulations.
The study was conducted according to the rules of the Declaration of Helsinki and was approved by relevant ethical committees and/or regulatory bodies in participating hospitals. All patients gave written informed consent to participate, in accordance with national and local regulations.
3
Assessing Cardiac Remodeling Biomarkers
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Continuous variables are expressed as the mean ± standard deviation and categorical variables are presented as percentages. Differences among groups were tested with one-way ANOVA for continuous variables and with the chi-square test for categorical data. Pearson’s correlation was used to investigate the correlation associated with the LVMI, E', and E/E' ratio in the study subjects. Uni- and multivariate logistic regression analyses were performed to calculate the odds ratio (OR) with 95% confidential interval (CI) for having the LVH and LVDD in the study subjects. Receiver operating characteristic (ROC) curve analysis was employed to assess the best cut-off value of plasma NGAL for predicting the LVH and LVDD in the study subjects. Values of P < 0.05 were considered statistically significant. All analyses were performed using the SPSS version 21.0 statistical package (SPSS, Inc., Chicago, IL, USA) and MedCalc Statistical Software version 15.8 (MedCalc Software, Ostend, Belgium).
4
Predictors of Mortality in Critically Ill Patients
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Data were analyzed using the SPSS version 21.0 Statistical package (SPSS Inc.). Quantitative and qualitative data were presented as mean ± standard deviation (SD), median (minimum–maximum), and frequency (percentage). Data preparation was done based on the study protocol. Descriptive statistics were applied to explore and describe the data. The normality of continuous data was evaluated using the Kolmogorov–Smirnov test. We used the independent sample t‐test and chi‐square (or Fisher's exact test) for comparison between alive and deceased patients. Mann–Whitney U nonparametric tests were applied for biomarkers analysis between two groups. A binary logistic regression model was fitted to identify the associated parameters with mortality. Variables were selected primarily based on a theoretical conceptual framework predefined in the study proposal. Among the independent factors, which were the candidate to be entered into the multivariable modeling, those with a p‐value of <0.3 were selected and entered into the statistical modeling procedure. A backward wald elimination technique was applied for modeling. Accordingly, the odds ratio (OR) and its 95% confidence interval (CI) were estimated for each factor associated with mortality. Type I error was predefined at 0.05.
5
Vitamin D and Autoimmune Blistering Skin Diseases
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Statistical analysis was performed by SPSS version 21.0 statistical package (SPSS Inc, Chicago, IL). The results are expressed as mean ± SD. Categorical variables were compared by χ2 test or Fischer exact test, as appropriate. For each variable, the normality of distribution was tested with the W statistic of Shapiro-Wilk. Normally distributed data were compared, after testing homogeneity of variance, by Student’s t test. The Mann–Whitney test was used when the normality test failed. The associations between variables were tested by Pearson’s product moment correlation or Spearman’s rank order correlation, as appropriate. The multivariate regression analysis was used to assess the independent association between ABSIS score, 25OHVitD levels and age, that were shown to be associated among themselves by Pearson’s product moment correlation or Spearman’s rank order correlation. P-values of less than 0.05 were considered significant.
6
Association Between 1HPT and Neoplasia
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Statistical analysis was performed by SPSS version 21.0 statistical package (SPSS, Inc.). The normality of distribution was checked by Kolmogorov-Smirnov test. The results are expressed as mean±standard deviation if not differently specified. The comparison of continuous variables between patients with and without 1HPT was performed using Student's t-test or Mann-Whitney U test, as appropriate. The categorical variables were compared by χ 2 test.
The logistic regression analysis assessed the association between the 1HPT diagnosis and the presence of all neoplasia and of the neoplasia that were significantly more frequent in 1HPT patients than in controls, after adjusting for variables that might influence the cancer risk, such as, age, gender (as appropriate), low 25OHVitD levels and smoking habit.
The logistic regression analysis assessed the association between the 1HPT diagnosis and the presence of all neoplasia and of the neoplasia that were significantly more frequent in 1HPT patients than in controls, after adjusting for variables that might influence the cancer risk, such as, age, gender (as appropriate), low 25OHVitD levels and smoking habit.
7
Diazoxide Efficacy and Tolerability
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Statistical analysis was performed using programs available in the SPSS version 21.0 statistical package (SPSS Inc., Chicago, Illinois, USA). Data are presented as median with range. Patients were divided into two groups according to effectivity or tolerability of diazoxide. Mann-Whitney U-tests and Chi-Square tests were performed to compare the clinical characteristics between these two groups. Differences were considered to be statistically significant at p values less than 0.05.
8
Denosumab Response Factors in PHPT
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Statistical analysis was performed by SPSS version 21.0 statistical package (SPSS Inc, Chicago, IL). The results are expressed as mean±SD, unless differently specified. Categorical variables were compared by χ2 test or Fisher Exact test, as appropriate. Comparison of continuous variables among the different groups was performed using Student t-test or Mann-Whitney U-test, as appropriate.
Bivariate associations between the biochemical parameters and the SDI were tested by either Pearson product moment correlation or Spearman correlation, as appropriate.
In the whole group of subjects, the logistic regression analysis assessed the association between the presence of a good response to DMab and the presence of PHPT, after adjusting for other possible confounding factors (such as age, BMI, familial history of hip fractures, personal history of clinical fragility fractures, daily calcium intake and previous use of bisphosphonates). P-values of less than 0.05 were considered significant.
Bivariate associations between the biochemical parameters and the SDI were tested by either Pearson product moment correlation or Spearman correlation, as appropriate.
In the whole group of subjects, the logistic regression analysis assessed the association between the presence of a good response to DMab and the presence of PHPT, after adjusting for other possible confounding factors (such as age, BMI, familial history of hip fractures, personal history of clinical fragility fractures, daily calcium intake and previous use of bisphosphonates). P-values of less than 0.05 were considered significant.
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