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Spss 22.0 windows

Manufactured by IBM
Sourced in United States

SPSS 22.0 Windows is a statistical software package designed for data analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is intended for use in a variety of research and business settings, supporting a wide range of statistical techniques.

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Lab products found in correlation

12 protocols using spss 22.0 windows

1

Factors Influencing NEPHS Utilization

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Percentages were used to describe the basic information, and chi-square tests were performed for the one-way analysis. Logistic regression was conducted to explore the relationship between each support variable and NEPHS utilization. The odds ratio (OR) and 95% confidence intervals (CI) were used to describe the relationship between variables after controlling for background variables including age, education, health status, and location of residence. We did separate analyses for male and female participants. A two-sided test was performed set at α = 0.05. The study used SPSS 22.0 Windows (SPSS, Inc., Chicago, IL, USA) to analyze the data.
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2

Statistical Analysis of Experimental Data

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All data were analyzed using SPSS 22.0 Windows (SPSS, Inc., Chicago IL) for experimental data. The Shapiro–Wilk test was used to test the normal distribution of the data before statistical analysis. The data were analyzed by one-way ANOVA, and the Duncan method was used for multiple comparisons. The results were expressed as mean ± SE. Statistical significance was considered significant when P < 0.05.
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3

Comparative Analysis of Dental Biomaterials

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A software program (SPSS 22.0 Windows, SPSS Inc., Chicago, IL, USA) was used. The Shapiro–Wilk and Levene’s tests determined the variables’ normality and the variances’ homogeneity for all data. Since the data were normally distributed but had heterogeneous variances for microhardness data, a Welsch’s ANOVA test was used to compare the materials. All pairwise comparisons were performed with the Games–Howell test. Since the data were normally distributed and had homogeneous variances for flexural strength, modulus elasticity, VPS, and DC values, a one-way analysis of variance (ANOVA) test was used to compare the materials. All pairwise comparisons were performed using the Tukey HSD test. Pearson coefficient correlation was performed to determine the linear correlation between microhardness, flexural strength, VPS and inorganic filler content. A significance level of 0.05 was considered for all analyses.
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4

Retinal Regression and Treatment Outcomes in ROP

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Baseline demographic characteristics and Retcam photographs of serial fundal examinations were evaluated. The proportion of eyes with ROP regression, additional treatment, and unfavorable anatomy were compared between the two groups 6 months after primary treatment as an endpoint. Statistical analyses were performed using SPSS 22.0 Windows (SPSS, Inc., Chicago, IL, USA). A p value of < 0.05 (2-sided) was considered significant for all tests. Data are presented as mean ± SD for continuous variables or as frequency (percentage) for categorical variables. Between-group differences were assessed using Chi-squared test or Fisher’s exact test for categorical variables, and Student t-test or Mann–Whitney test on ranks for continuous variables depending on the distribution. All p-values are two-tailed and considered significant if < 0.05.
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5

Microbleeds in Intracerebral Hemorrhage

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To determine whether survivors at 6 months with follow-up MRI differed from those for whom follow-up MRI was not available, we compared the main baseline characteristics and initial clinical severity between those 2 groups, using χ 2 test for categorical variables and Mann-Whitney U test for continuous variables (data not shown).
We investigated characteristics associated with the incidence of CMBs during follow-up using bivariate logistic regression analysis, then adjusted for age, sex, and scan interval. Then, we stratified our analyses according to the index ICH location (lobar/nonlobar) because of the potential influence of the underlying vasculopathy (mostly cerebral amyloid angiopathy in lobar ICH and mostly deep perforating vasculopathy in nonlobar ICH). We performed statistical analyses with the SPSS 22.0 (windows).
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6

Delirium Reduction in Surgical Patients

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The incidence of POD in a comparable patient population of a previous study was 28% (Robinson et al., 2009 (link)). Therefore, we assumed that the incidence of delirium would be reduced by one third in the DEX group in this trial. With significance set at 0.05 and power set at 80%, the sample size required to detect differences was 196, calculated with the Pass 11.0 software (NCSS, LLC. Kaysville, Utah, USA). Taking into account a lost-to-follow-up rate of about 6%, we planned to enroll 208 patients.
Continuous data with a normal distribution were presented as means ± standard deviation (SD) and analyzed using the independent t-test; those with a non-normal distribution were presented as medians (interquartile range) and analyzed by the Mann-Whitney U-test. Categorical variables were presented as frequencies and percentages and analyzed with the chi-square test or Fisher’s exact test. Repeated measurement analysis of variance was used to analyze the levels of pro-inflammatory markers. Statistical analyses were done on SPSS 22.0 Windows (IBM Corp., Armonk, NY, USA) with two-tailed tests wherever appropriate and P < 0.05 being considered statistically significant.
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7

Subchondral Femoral Head Collapse Analysis

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Continuous data with a normal distribution pattern would be presented as mean ± standard deviation (SD) and analyzed using the one-way ANOVA, and LSD-t-tests would be used for multiple comparisons. Data with a non-normal distribution pattern would be presented as median (interquartile range) and analyzed using the Kruskal–Wallis H test; Nemeyi tests would be applied for multiple comparisons. For the ordinal data, we would use the Kruskal–Wallis H test to assess the difference between the four groups; and Nemeyi tests would be used for multiple comparisons. Categorical variables would be expressed as frequencies and percentages and analyzed with the chi-square test or the Fisher's exact test. We would use the Cox's proportional hazard model to examine the survival status of the subchondral femoral head collapse between the four groups. Repeated measurement ANOVA would be used to analyze the repeated measurement data, such as VAS scores and HHS. Statistical analyses would be done according to the intention-to-treat principle on SPSS 22.0 Windows (IBM Corp, USA) with two-tailed tests wherever appropriate, and P < .05 would be regarded as statistically significant.
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8

Correlations and Principal Component Analysis

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All data entry and analysis were carried out using SPSS Windows 22.0. Pearson’s correlations were run between traditional paper and pencil variables and CompCog variables. The p-values under 0.05 were considered to show statistical significance. A principal component analysis (PCA) with oblimin rotation (delta=0) was conducted on all items regarding time measures. ­Components were extracted based on eigenvalues of more than 1. Since the size sample was small, we used the Kaiser-Meyer-Olkin (KMO) measure to verify the sampling adequacy for the analysis. KMO was 0.662, above the level of 0.5 for adequacy. Bartlett’s test of sphericity (χ2 (300)=1658.970, p<0.001) indicated that correlations between items were sufficiently large for PCA.
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9

Descriptive Statistical Analysis of Obstetric Data

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The SPSS (Windows 22.0) software was used for data analysis. Descriptive statistical methods (mean, standard deviation, mode, median, frequency, minimum, and maximum) were used for statistical analysis of data, and Mann-Whitney U, chi-square, and Spearman’s correlation tests were calculated for determining the relationship between the descriptive tests and scales. No missing data were found in the study. While analyzing the demographic and obstetric data of the participants, median and percentage values were taken as basis. The median value was also determined while analyzing the scale scores.
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10

Pediatric Tracheostomy Complications Analysis

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Children who underwent PT under elective general anesthesia in the pediatric and otorhinolaryngology clinic and pediatric intensive care unit between January 2007 and February 2017 were included in the study. The demographic characteristics of the patients, their ages, genders and indications were obtained from the files. Other information collected included indications, intubation time (0-21 days and more than 21 days), the experience of the surgeon (0-5 years and more than 5 years), surgical time (less than 30 minutes and more than 30 minutes) and surgical preferences (skin incision and tracheal incision) were compared to early and late complications.
For the statistical analysis, SPSS (Windows 22.0) was used. The Kruskal Wallis test was used for the evaluation of the relationship between the independent variables of the study and early or late complications. The findings were evaluated with a 95% confidence interval and a significance was assessed as p<0.05. The scientific ethics committee approval was taken from University of Health Sciences, Training and Research Hospital, prior to the study.
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