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Spss 23.0 software for windows

Manufactured by IBM
Sourced in United States

SPSS 23.0 is a statistical software package for Windows that provides advanced analytical capabilities. It enables data management, analysis, and presentation functions. The software is designed to help users gain insights from data through a variety of statistical techniques.

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43 protocols using spss 23.0 software for windows

1

Diabetes Indicators in Dasik vs Cookie

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Statistical analyses were performed using SPSS 23.0 software for Windows (SPSS Inc., Chicago, IL, USA). All data are presented as mean ± standard deviation (SD). Mean values between baseline and endpoint in each group were analyzed using the paired t-test and differences between the dasik and cookie groups were analyzed using the Student's t-test except diabetes-related indicators. Glucose, insulin, FGIR, HOMA-IR, QUICKI, and leptin levels were analyzed by Wilcoxon signed ranks test and Mann-Whitney U test for within and inter group differences, respectively. Values of P < 0.05 were considered to indicate statistical significance.
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2

Comparative Analysis of Carotid and Fallopian Canal Dehiscence

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We calculated and compared the relative risk among the 3 groups for dehiscence of both the ICA and Fallopian canals. In addition, to calculate and compare the narrowest bony coverage of the carotid artery canal, and the length of dehiscence, we used the Mann-Whitney U test. For these analyses, we used SPSS 23.0 software for Windows (SPSS Inc., Chicago, IL). Findings were considered statistically significant when P values were less than 0.05.
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3

Nonparametric Statistical Analysis of Data

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To calculate and compare our results, we used the nonparametric Mann-Whitney U test. For all of our analyses, we used SPSS 23.0 software for Windows (SPSS Inc., Chicago, IL). Findings were considered statistically significant when the P value was less than 0.05.
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4

Propensity Score Matched Analysis of Survival

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The SPSS 23.0 software for Windows (SPSS, Chicago, IL, USA) was used to perform the statistical analysis. The propensity score (PS) matched analysis was used to reduce the bias. PS was calculated to fit with variables, including age, sex, length of tumor, location of tumor, clinical T stage, clinical N stage and clinical TNM stage. The characteristics and pre-therapy data between the groups were compared using Student's t-test for all quantitative data and both a chi-square test and a Mann-Whitney U test for qualitative data. Categorical variables were compared by Fisher's exact test. The Kaplan-Meier method was adopted to analyze overall survival (OS) with a log-rank test. We reported survival rates and Hazard ratios with 95% confidence intervals (CIs). The OS was defined as the time from the operation in the surgery group and the first date of NAC to the death or most recent follow-up. A two-sided P value of 0.05 was defined as statistically significant.
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5

Investigating Mental Health and Metabolic Profiles

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Descriptive statistics with frequency distributions were used to study the prevalence of mental health morbidity. The Kolmogorov–Smirnov test was used to evaluate whether each variable had a Gaussian distribution. Student’s t-test and Mann–Whitney U test were used for continuous variables, where appropriate. Spearman correlation analysis was used to investigate the association between body image, clinical characteristics, and metabolic and hormonal profiles. Patients were also divided into four subgroups based on BMI and IR: (1) normal weight without IR (BMI < 25 and HOMA index < 2.5) (n = 73); (2) overweight without IR (BMI ≥ 25 and HOMA index < 2.5) (n = 27); (3) normal weight with IR (BMI < 25 and HOMA index ≥ 2.5) (n = 5); and overweight with IR (BMI ≥ 25 and HOMA index ≥ 2.5) (n = 23). Finally, we tested the mediation effect between anxiety (STAI-I), depression (BDI), body image dissatisfaction (BAT), and bulimic risk (BITE) using the Sobel test for mediation [19 (link)]. The independent variable was the BITE score. The dependent variables were STAI-1 and BDI scores, and the posited mediator was BAT total score. SPSS 23.0 software for Windows (SPSS Inc., Chicago, IL, USA) was used for data analysis, and a p-value less than 0.05 was considered statistically significant.
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6

Comparative Analysis of VKH Subtypes

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Comparisons between the two types of VKH disease were conducted using SPSS 23.0 software for Windows (SPSS Inc., Chicago, IL, USA). Regarding demographic characteristics, the independent samples t-test was used for normal distribution continuous variables, the Mann–Whitney test was used for non-normal distribution continuous variables, and the chi-squared test was used for categorical variables. Generalized estimating equation was applied to accommodate the correlation between two eyes of the same person when comparing OCT features at the acute uveitis stage. P < 0.05 was considered statistically significant.
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7

Comparative Statistical Analysis

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To compare the results, we used the nonparametric Mann-Whitney U test (SPSS 23.0 software for Windows, SPSS Inc., Chicago, IL). All results were expressed as the mean±standard deviation (SD). Findings were considered statistically significant when the P value was less than 0.05.
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8

Comparative Statistical Analysis Protocol

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One‐way analysis of variance (ANOVA) and Tukey’s HSD test were used to analyse each dataset and to compare different groups. SPSS 23.0 software for Windows (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. P values less than 0.05 were considered as significant.
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9

Survival Analysis of Surgical Oncology

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Disease-free survival (DFS) was defined as the time from surgery to any recurrence, including locoregional recurrence and distant organ metastasis. Overall survival (OS) was calculated as the time from the date of surgery to death or censoring. The chi-square test was performed to evaluate the association between the clinicopathological variables and plasma D-dimer levels and INR. Survival curves were estimated by the univariate Kaplan-Meier method. The log-rank test was applied to check the significant difference in the curves among groups. Furthermore, we used the Cox proportional hazards model for multivariate analysis. All statistical calculations were performed with SPSS 23.0 software for Windows (Chicago, IL, USA). Two-sided P-values of < 0.05 were considered to be statistically significant.
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10

Neoadjuvant Immunochemotherapy for Esophageal Cancer

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This trial is designed to explore the effectiveness (pCR rate) and safety (AE and SAE) of neoadjuvant immunochemotherapy followed by oesophagectomy with complete two-field lymphadenectomy. The pCR rate for NAC was about 10%. It was assumed that the pCR rate of this trial might be 25%. Therefore, the 30 enrolled patients could reject the hypothesis at 75% (α=0.1). As an exploratory study, the sample size was 30 totally. SPSS 23.0 software for Windows (SPSS, Chicago, IL, USA) will be adopted for the statistical analysis. The intent to treatment (ITT), Per Protocol Set (PPS) and safety set (SS) will be analysed and reported.
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