SPSS version‐25.0 statistical software (IBM) was used to perform the statistical analysis. Continuous variables were reported as the mean and standard deviation (SD) and categorical variables were reported as percentages. The ANOVA variance analysis was used to compare continuous variables among different groups. P < 0.05 was considered to be significant.
Spss version 25.0 statistical software
Manufactured by IBM
Sourced in United States
SPSS version 25.0 is a comprehensive statistical software package designed for data analysis. It provides a wide range of statistical techniques, including descriptive statistics, regression analysis, and multivariate analysis. The software is suitable for use in various fields, such as social sciences, market research, and healthcare.
Automatically generated - may contain errors
Lab products found in correlation
22 protocols using spss version 25.0 statistical software
1
Statistical Analysis of Continuous and Categorical Variables
2
Vaginitis Evaluation and Diagnosis Practices
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All data are unweighted. Results were analyzed using SPSS version 25.0 statistical software (IBM Corp., Armonk, NY); P < .05 was considered statistically significant. Analyses were exploratory in nature and reported using descriptive statistics. Subanalyses were performed comparing OBGYN and PCP practices and among patient charts to compare vaginitis evaluation and diagnosis types.
3
Comparing Abdominal Fluid and Blood Biomarkers
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Continuous variables are presented as means and standard deviations, compared using variance and t-test analyses. Categorical variables are presented as the number of patients in each category and the corresponding percentages. The missing data were not replaced. The results obtained for the variables of abdominal fluid and peripheral blood were compared using the Spearman correlation coefficient to identify factors that were significantly associated with the outcomes. All reported P-values were 2-sided, and P-values <0.05 were considered statistically significant. Statistical analyses were performed with SPSS version 25.0 statistical software (IBM Corp).
4
Surgical Outcomes in Recurrent Disease
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Data were reported as numbers and percentages. Concerning the limited sample sizes, statistical comparisons between surgical groups were based on exact methods [7 ]. The Fisher-Freeman-Halton exact test was performed to compare recurrence as a binary outcome across the three treatment groups, [8 (link)]. In case of a significant overall effect, post hoc between-group comparisons were performed following the closed testing procedure, and the two-tailed Fisher’s exact test was used [9 ]. All analysis was performed using SPSS version 25.0 statistical software (IBM, Chicago, IL, USA). A P-value <0.05 was considered to be statistically significant.
5
Normality Assessment and Comparative Analysis
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Exploratory data analysis and Shapiro-Wilk test were performed to determine the normality of the data distribution. Continuous variables were expressed as means (SD) or medians (Q1, Q3). Mean differences were expressed with their 2-sided 95% CIs. Between-group differences at baseline and in the change from baseline to the end of the study were tested with unpaired the Mann-Whitney U test. Gender, Brunnstrom staging, and modified Ashworth grading data, which were categorical variables, were expressed as counts and percentages. Between-group comparisons at baseline in categorical variables were tested with the Chi-square test. The Spearman correlation test was used if one of the variables did not conform to the normal distribution. A P < 0.05 represented statistical significance. All analyses were conducted with SPSS version 25.0 statistical software (IBM Inc., Chicago, IL, USA).
6
Comparison of Pre-Post Intervention Effects
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The general characteristics of all subjects showed normal distribution. SPSS version 25.0 statistical software (IBM, Chicago, IL, USA) was used in analysis of all statistical values. Results were presented as mean ± standard deviation. The Kolmogorov–Smirnov test was used to identify normality on the general characteristic of the subjects. The paired t-test was used to compare the pre-intervention and post-intervention results within the groups. One-way analysis of variance was used to identify the significant differences between the preintervention and post-intervention values of each group. Bonferroni correction was used for performing multiple comparisons among the groups. The level of statistical significance was set at 0.05.
7
Evaluating Intervention Efficacy with SPSS
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All demographic variables of subjects displayed normal distribution. SPSS version 25.0 statistical software (IBM, Chicago, IL, USA) was used for analysis of all statistical values. Results are presented as mean ± standard deviation. The general characteristics of two groups were analyzed using chi-squared analysis and the independent t-test. The interaction effect between group and time was assessed using a repeated-measures analysis of variance. A paired t-test was used to compare the results before and after the intervention in each FPRE group and control group. For all tests, the level of statistical significance was set to 0.05.
8
Anlotinib Survival Analysis in Cancer
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Categorical variables were reported as frequencies with percentages, and continuous variables were described as medians with interquartile range (IQR). Significant factors related to PFS and OS were estimated using univariate and multivariate Cox regression analyses. According to the median ANC, patients were divided into relatively high and low level groups. The Log rank test was used for the analysis of PFS and OS and survival curves were created using the Kaplan–Meier method. The response to anlotinib between the two groups was compared using the Pearson χ2 or Fisher’s exact test. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used to assess the ability of ANC to predict the 10-month survival. The level of significance for all statistical tests was set at a two-sided P value of 0.05. Statistical analyses were performed using the SPSS Version 25.0 statistical software (IBM Corporation, Armonk, NY, USA).
9
Statistical Analysis of Experimental Data
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The SPSS version 25.0 statistical software (IBM, International Business Machines Corporation, New York, USA) was used for data analysis. Measurement data were expressed as mean ± standard deviation (x ± s). Comparisons between groups of normally distributed data were performed using the independent sample t-test and analysis of variance (ANOVA). The Mann–Whitney U-rank sum test was used for the data that were not normally distributed. Numerical data were expressed as the number of cases and as percentages (%), and the data were compared using the chi-square test. A P-value of < 0.05 (bilateral) was considered to be statistically significant.
10
Statistical Analysis of Clinical Outcomes
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Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 25.0 statistical software (IBM Corp., Armonk, NY, USA). PSM analysis was performed using SAS version 9.4 (SAS Institute Inc., Cary, NC). All fi gures were generated using the GraphPad Prism version 8.0 (GraphPad Software Inc., San Diego, CA, USA). Descriptive data were expressed as mean ± standard deviation (SD), median (min-max) or number and frequency, where applicable. Student's t-test and Mann-Whitney U test were used to compare two groups with regards to normal and non-normal distributed quantitative variables, respectively. Categorical variables were compared using the chi-square (χ2) test. One-way analysis of variance (ANOVA) (and post-hoc Bonferroni tests) and Kruskal-Wallis nonparametric ANOVA were used to compare the groups with regards to normal and non-normal distributed quantitative variables, respectively. Logistic regression was then used to compare binary categorical outcomes between propensity matched groups. A p value of <0.05 was considered statistically signifi cant.
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