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Spss version 21.0 for windows

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SPSS Version 21.0 for Windows is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, modeling, and reporting. The core function of SPSS is to enable users to import, manage, analyze, and present data efficiently.

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157 protocols using spss version 21.0 for windows

1

Dietary Vitamin E Intake Quantification

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Vitamin E intake was obtained using two 24 h dietary recall (24HR), applied using face-to-face interviews at the two data collection times in both groups. During this interview, the participants were asked about the food (and its preparation), supplements and beverages consumed in the last 24 h before the interview, in which the home measures described were converted to grams or milliliters [32 ,33 ] and the amount of vitamin E consumed was analyzed using the software Virtual Nutri Plus [34 ], from the database constructed by Rodrigues (2016) [8 ]. The dietary intake of vitamin E was corrected for total energy intake. The resulting values were obtained using SPSS, version 21.0 for Windows (SPSS Inc., Chicago, IL, USA) employing the residual method.
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2

Stress, Social Support, and Sexual Adjustment

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Using G-power 3.1,[37 (link)] the sample size was calculated to be 128 samples with a medium effect size, significance level of 0.05, and power of 0.80.[33 ] The sample size requirement was met.
SPSS version 21.0 for Windows (SPSS, Chicago, USA) was used in data analyses. We analyzed participants' general and clinical characteristics, stress, social support, and sexual adjustment using descriptive statistics. We compared the mean total scores of stress, social support, and sexual adaptation according to participants' general and clinical characteristics using t-test (religion and hormone therapy) and analysis of variance (age, marital duration, and education status). Scheffe's test was used for the posttest. We analyzed the relationship between stress, social support, and sexual adjustment using Pearson's correlations coefficient.
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3

Effect of Diet and Stress on Animals

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This experiment was based on a completely randomised design with nine treatments and three replications. Two-way ANOVA was used to investigate the “Diet Effect” and the “Stress-number Effect”. When the p value of interaction was not significant, treatments were compared in different stress numbers and three levels of FM replacement in pooled data (Table 4). When the interaction was significant, the original data were unpacked and treatments for each stress and FM level were compared (subsets in figures). Further, data were compared before and after AC stress to see which parameter was changed with AC stress in each treatment [2 (link),20 ]. In all analyses, a significant difference between treatments was defined as a difference of 5% or less. SPSS (version 21.0 for Windows) was used to analyse the data.
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4

Repeated Measures Analysis of Variance

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All statistical analyses were performed using SPSS version 21.0 for Windows (SPSS, Chicago, IL, USA). Continuous variable data are presented as mean ± SD. All data were tested for normal distribution with the Shapiro-Wilk test for normality. An alpha level of P<0.05 was required for statistical significance. Repeated measures analysis of variance (ANOVA) was used to evaluate all continuous dependent variables. When a significant group-by-time interaction was observed, within-group comparisons between time points and between-group comparisons at each time point were performed using Tukey post hoc analysis.
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5

Evaluating Fecal Tests for UC Mucosal Healing

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Spearman's rank correlation was used to determine the correlation among fecal tests and instruments to assess the endoscopic severity of UC. The comparison between the area under the receiver operating characteristic (ROC) curve was analyzed using DeLong's test. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), with associated 95% confidence intervals, of fecal tests for mucosal healing were evaluated. A P-value < .05 was considered statistically significant. Statistical calculations were performed with SPSS version 21.0 for Windows (SPSS Inc., Chicago, IL, USA).
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6

Anaemia Outcomes in ART Initiation

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In general, we applied the value closest to starting ART as the baseline value. Chi-square tests were used to study the association of baseline characteristics with severity of anaemia at baseline. The mean of the haemoglobin concentration and its confidence interval were calculated. Paired samples t-tests were used to compare haemoglobin concentration before and 12 months after ART initiation. Overall changes in haemoglobin concentration on treatment were further examined by stratifying results by sex (male versus female) at treatment initiation using the t-test. The paired t-test was used to compare the haemoglobin gain over 12 months between the group receiving AZT and those not receiving AZT. McNemar’s test was used to compare the proportion of patients with anaemia at the beginning and end of the first 12 months on ART.
A logistic regression model was used to identify predictors of persistent anaemia after 12 months of ART among anaemic patients at treatment initiation. Gender, age, stage of disease, ART regimen, cotrimoxazole prophylaxis and CD4 count at baseline were entered into a logistic model to find the factors associated with the persistence of anaemia. Data were analysed with SPSS version 21.0 for Windows. All tests were two-sided and the level of significance was set at P < 0.05.
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7

Spatiotemporal Adaptations and Stiffness in Endurance Runners

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Descriptive statistics are represented as mean (standard deviation). Tests of normal distribution and homogeneity (Shapiro-Wilk and Levene’s test, respectively) were conducted on all data before analysis. A one-way analysis of variance (ANOVA) was performed in order to compare the age and anthropometric data between groups (ER vs. NR). A repeated measures ANOVA (2 x 5, group x velocities), with a Bonferroni post-hoc test, was performed to determine the effect of different running velocities on spatiotemporal parameters and stiffness for endurance runners with different performance levels (LLG vs. HLG). A partial correlation analysis, adjusted by the performance level and body mass index, was conducted between lower-body stiffness and spatiotemporal adaptations with increased velocity (Δ) (i.e., CT at 12 km/h CT at 10 km/h). The magnitude of the differences between values was also interpreted using the Cohen’s d effect size (ES) (within- and between-group differences) (Cohen, 1988 ). Effect sizes are reported as: trivial (<0.2), small (0.2-0.49), medium (0.5-0.79), and large (≥0.8) (Cohen, 1988 ). The data were analyzed with SPSS, version 21.0, for Windows (SPSS Inc., Chicago, IL, USA), and the significance level was set at p < 0.05.
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8

Evaluating Magnesium Sulfate's Impact on Tissue Oxygenation

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The SPSS Version 21.0 for Windows (SPSS Inc., Chicago, Illinois, U.S.A.) was used for statistical analysis. Results are given as median values and one standard deviation (SD). Dependent variables were “SO2”, “rHb”, “velo” and “flow”. Independent variables were the presence or absence (before/after) of MgSO4 administration. A Shapiro-Wilk-Test was performed to identify normal distribution for each continuous variable. We used a paired t test in cases with Gaussian distribution, otherwise the non-parametric Wilcoxon signed-rank test was used for paired comparisons (before/after) of independent variables. To identify possible confounding factors, we examined correlation of O2C parameters with the following anesthesiological parameters: bladder temperature, systolic/diastolic blood pressure, mean arterial blood pressure, heart rate, end-tidal partial carbon dioxide pressure (etCO2), temperature corrected partial carbon dioxide pressure (pCO2 (T)), fraction of inspired oxygen (FiO2), hemoglobin oxygen saturation (SaO2), hemoglobin (Hb), hematocrit (Hct) and arterial bicarbonate (HCO3). Here, Spearman’s rank correlation coefficient was calculated. Statistical significance was set at P < 0.05.
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9

Sorafenib Therapy and HK-II Immunopositivity

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All in-vitro experimental data were obtained from at least 3 independent cell line experiments from a minimum of 3 separate isolations and are expressed as means ± standard deviation (SD). The Mann–Whitney U was used to determine differences between groups. For the retrospective patient study, the TTP was calculated from the first day of sorafenib administration to the date of progression. Overall survival was calculated from the date of first administration of sorafenib to the date of death or last contact. Conventional clinical factors at the time of entry into the study and immunopositivity for HK-II were analyzed to identify variables that affected survival as determined by the Kaplan–Meier method and compared by the log-rank test. Stepwise multivariate analysis was performed using the Cox proportional hazards model to identify independent variables that affected survival. Factors found to be significantly related to outcome by univariate analysis were included in the multivariate analysis. For statistical analysis, SPSS version 21.0 for Windows (SPSS, Inc., Chicago, IL, USA) was used. Where p < 0.05, it was considered statistically significant.
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10

Spinal Curvature Changes After Surgery

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SPSS version 21.0 for Windows (SPSS, Inc., Chicago, IL) was used for statistical analysis. Paired t‐tests were used to analyze the difference in coronal main curve angle, proximal and distal compensatory curve angle, thoracic kyphosis, segmental kyphosis, and lumbar lordosis before surgery, after surgery, and at the latest follow‐up. A P < 0.05 was considered as statistically significant.
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