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Spss for windows ver 18

Manufactured by IBM
Sourced in United States

SPSS for Windows ver. 18.0 is a statistical software package developed by IBM. It provides a user-friendly interface for data analysis, data management, and data visualization. The core function of this software is to enable users to perform a wide range of statistical analyses, including descriptive statistics, regression analysis, and hypothesis testing.

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36 protocols using spss for windows ver 18

1

Analyzing Work-Rest Regime Impacts

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All statistical analyses of this study were performed using SPSS® for Windows® ver 18.0 (SPSS Inc, Chicago IL, USA). Wilcoxon signed rank test was used to compare values of the work-rest regime based on two indices of RHR and WBGT. Correlations between the indices and physiological parameters were assessed with Spearman's ρ. A p value <0.05 was considered statistically significant.
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2

Trends and Factors in CPR Outcomes

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Annual trends in CPR rate, death preceded by CPR and CPR survival rates were evaluated using the Cochran–Armitage trend test. Analyses of the associations of survival with patient and hospital characteristics were performed by logistic regression analysis. Variables with a statistically significant association (P < .05) were included in multivariable models. The relationship was considered statistically significant at P < .05. All analyses were performed using SPSS for Windows (ver. 18.0; SPSS Inc, Chicago, IL).
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3

Statistical Analyses of Survival Outcomes

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Statistical analyses of categorical variables were performed using chi-squared or Fisher’s exact tests. Continuous variables were analyzed using Student’s t-tests or Mann–Whitney U-tests. The Kaplan-Meier method was used to estimate overall survival, progression-free survival. A Cox proportional hazards model was used to estimate the effect of TTF-1 expression on survival, adjusting for baseline characteristics. A p-value < 0.05 was considered statistically significant. All analyses were performed using SPSS for Windows ver. 18.0 (SPSS, Chicago, IL, USA).
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4

Cross-over Statistical Analysis of Cognitive Measures

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SPSS for Windows Ver 18.0 (SPSS Inc., Chicago, IL, USA) will be used for statistical analysis. The study has a cross-over design, which will be used to analyze the difference between the two groups after correcting the crossing sequence and the patient number to a random variable by using a mixed model. The general characteristics, DST, SDMT, and WLR scores of the study subjects will be converted into percentages (%) and standardized scores, and continuous data are summarized as mean, standard deviation or median, quartile range, minimum value, and maximum value. Changes in the main measurements will be analyzed by the paired t-test when the values of the data follow a normal distribution. If not, the Wilcoxon rank sum test will be used as a nonparametric method. P-value of under 0.05 will be considered significant.
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5

Seroprotection Rate Comparison of Vaccines

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To compare the seroprotection rates between the two groups (vaccine types and number of shots), a χ2 test was used. GMTs and their 95% CIs were calculated as the anti-log of the mean and 95% of the log10 values. P values < 0.05 were considered statistically significant. Statistical analysis was performed using SPSS for Windows ver. 18.0 (SPSS Inc., Chicago, IL, USA).
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6

Risk Factors for Depression in MERS Patients

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Patients were divided into two groups based on PHQ-9 scores: those experiencing mild-to-severe depression and those without depression. An independent-sample t-test was used to test for differences in continuous variables between quarantined patients with mild-to-severe depression and those without depression. Pearson’s correlation analysis was used to examine the correlations among psychological measures. A multiple linear regression analysis was performed to identify the risk factors for depression in patients with suspected or confirmed MERS. The null hypothesis was rejected at p<0.05. All statistical tests were conducted using the Statistical Package for the Social Science (SPSS) for Windows (ver. 18.0; SPSS Inc., Chicago, IL, USA), and the threshold for twosided significance tests was p<0.05.
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7

Evaluating Microbiota and IBS Symptoms

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SPSS for Windows (ver. 18.0; SPSS, Chicago, IL) was used for statistical analysis. Continuous variables were analyzed using Student’s t tests and categorical variables were analyzed using Chi-square tests or Fisher’s exact tests. To assess the quantitative changes of fecal microbiota before and after the study period in both groups, paired t tests were performed. To evaluate the change in the stool form/frequency, total symptom score, and subtotal score in the 4 IBS symptom domains over time, and to compare the score between the groups, we used a general linear model with repeated-measures analysis of variance. Results were considered statistically significant when the p values were <0.05.
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8

Statistical Analysis of Categorical and Continuous Variables

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Categorical variables were analyzed with the χ2 test. And Student's t test was used for continuous variables. A P value of under 0.05 was considered statistically significant. The statistics program used for this research was SPSS for Windows (ver. 18.0; SPSS Inc., Chicago, IL, USA).
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9

Acupuncture Versus Artificial Tears

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All statistical analyses were performed with SPSS for Windows (Ver. 18.0, SPSS, Inc., Chicago, IL, USA). Data are expressed as the mean ± standard deviation (SD). Two-sided pairwise comparisons were conducted (P < 0.05). Kruskal-Wallis test was used to determine differences between the acupuncture group and artificial tear group. Two-way ANOVA was used to determine differences among the different subgroups in the acupuncture group and artificial tear group. Statistical significance level was set at 0.05.
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10

Comparing Early and Late Knee Arthroplasty Outcomes

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Patient demographics, including age, sex, body mass index, and operative side, were compared between the early and late cohorts with independent t or chi-square tests. Pre- and postoperative MA angles and MA% values, on navigation and radiographs, were compared between the early and late cohorts with independent t tests. Likewise, the pre-and postoperative PSA, and the change in the PSA on radiographs, were compared between the two groups with independent t tests. The proportion of inliers for the postoperative MA and change in PSA, which were radiographically evaluated, were compared with chi-square tests. The correlations between navigation and radiographic measurements for the pre- and postoperative MA angles were assessed with Pearson correlation analyses. Statistical analyses were performed with SPSS for Windows (ver. 18.0; SPSS Inc., Chicago, IL, USA). P values <0.05 were considered statistically significant.
Post hoc power analyses using significance levels set to an alpha of 0.05 were performed to determine whether the sample had sufficient power to detect significant differences. A power >80% was considered sufficient, and all variables that were significantly different met this criterion.
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