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Spss statistics 15

Manufactured by IBM
Sourced in United States

SPSS Statistics 15.0 is a statistical software package developed by IBM. It provides tools for data management, analysis, and presentation. The core function of SPSS Statistics 15.0 is to enable users to perform a wide range of statistical analyses on data, including descriptive statistics, regression, and hypothesis testing.

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24 protocols using spss statistics 15

1

Neonatal Piglet Colostrum Supplementation

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All statistical analyses were performed using the SPSS Statistics 15.0 software (IBM SPSS, Chicago, IL, USA) with piglet as the experimental unit. Data of weight, temperature, and serum IgG concentration at each individual time-point (hour 0, 12, and 24, and day 10 and 20, in each case) were analyzed by General Linear Model with treatment as a fixed factor. The analysis was performed as a univariate analysis. Each variable was analyzed separately and predictor variable was the treatment (control, porcine colostrum, or goat colostrum). The differences among means were further compared using the Least significant difference (LSD) method. Results are given as mean values and a pooled standard error of the mean (SEM). Finally, Pearson’s Chi-Square test was used to examine relationships between mortality data at the end of the trial and the treatment, considering a significance level of p < 0.05.
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2

Sow Reproductive Performance and Colostrum Ig

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Statistical analyses were carried out using SPSS Statistics 15.0 software (IBM SPSS, Chicago, IL, USA). Data from all sows were used—20 primiparous and 36 multiparous distributed in groups of 9 according to the parity numbers (2nd, 3rd, 4th and ≥ 5th). All numerical data are presented as LS means ± SEM, and differences are considered as statistically significant at the 95% confidence level (p < 0.05). The differences between means were determined by Fisher’s LSD test. An analysis of variance was performed to study the effect of the sow’s parity number on the reproductive performance variables analyzed (gestation length, sow body condition, back-fat thickness, loin depth, NBA, PBW and LBW), and serum IgG, IgM and IgA concentration in the sows, using a General Linear Model procedure with treatment as the fixed factor. The macronutrient components and IgG, IgA and IgM concentration in colostrum at T0, T6 and T24 were analyzed by a multivariate analysis (General Linear Model) with sow parity, time and their interaction as fixed factors. Pearson’s correlation coefficient (r) was used to determine linear relationships between mean colostrum and serum Ig concentrations, considering a significance level of p < 0.05.
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3

Cesarean Delivery Statistical Analysis

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Statistical analysis was performed with IBM SPSS Statistics 15.0 (SPSS Inc., Chicago, IL). A stratified analysis was made for patients with primary and repeat cesarean delivery. The Shapiro-Wilk test was used to calculate whether the numeric variables were normally distributed. For normally distributed variables, differences in the distributions of the patient characteristics were analyzed with Student's t test. The Mann-Whitney U test was used for abnormally distributed variables. Cross-tables and chi square analysis were employed in the evaluation of the categorical data. P value <0.05 was considered statistically significant.
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4

Statistical Analysis of Continuous Variables

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Normal distribution of continuous variables was evaluated by visual (histogram and probability plots) and analytical (Kolmogorov-Smirnov and Shapiro-Wilk tests) methods. In the descriptive findings, categorical variables are given as numbers (percent), and continuous variables are presented with mean ± standard deviation (SD) for normal scattering data and median (minimum-maximum) for normal non-scattering data. Cut-off values for hematological data were determined using receiver operating characteristic (ROC) curve analyzes. For the categorical variables, statistical difference among groups was determined by using chi-square tests. The DFS and OS ratios were determined using the Kaplan-Meier method, and the log rank test was used to determine the statistical difference. Univariate and multivariate Cox regression analyses were performed to determine the prognostic factors affecting DFS and OS. Statistical significance was accepted as p < 0.05. IBM SPSS Statistics 15.0 was used for statistical analysis of research data.
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5

Statistical Analysis of Categorical Variables

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We compared categorical variables by using χ2 test or 2-tailed Fisher exact test, when appropriate. We considered p<0.05 statistically significant. We performed analyses by using SPSS Statistics 15.0 (IBM, https://www.ibm.com).
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6

Blinded Animal Behavior Testing

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For all animal behavioral test at least 7 mice, tumor xenograft models 5 mice and hair growth experiment 7 mice were randomized to each group. Results are expressed as the mean ± SEM. Differences between groups were compared using a two-tailed Student’s t-test or a two-way ANOVA followed by the Bonferroni post-hoc analysis using statistics software SPSS Statistics 15.0 (IBM SPSS Statistics, USA). The criterion for statistical significance was P < 0.05. Experimenters were blinded to all drug treatments.
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7

Statistical Analysis Procedures Protocol

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All endpoints data were analyzed by a blinded statistician using SPSS Statistics 15.0 (IBM Corp., Armonk, NY, USA). Mann–Whitney test or Student's t-test were used to analyze the continuous endpoints data. Fisher's exact test was used to analyze the categorical endpoints data. The value of P < .05 is considered as having statistical significance.
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8

Caries Prevalence and Mediterranean Diet Adherence

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Statistical analysis was performed using the IBM SPSS Statistics 15.0 statistical package to study the association between caries prevalence/severity variables and adherence to the Mediterranean diet.
The chi-squared test was used to evaluate the homogeneity of caries prevalence in the three levels of adherence to the Mediterranean diet. The Kruskal–Wallis test was used to compare the distribution of the ICCMS grade in the three levels of adherence to the Mediterranean diet. Pearson’s correlation was used to assess the degree of linear association between the KIDMED score and the number of teeth with caries. Spearman’s nonlinear correlation was used for the KIDMED score and ICCMS for each tooth.
The level of significance used in the analysis was 5% (α = 0.05). Any p-value less than 0.05 is indicative of a statistically significant relationship. In contrast, a p-value greater than or equal to 0.05 indicates no relationship.
To estimate the population prevalence from the sample of 263 individuals, there is a maximum error of 6% for p = q = 5% and a confidence level of 95%. For a chi-squared test in the current sample, with a confidence level of 95%, the power reached is 81.4% to detect two different caries prevalence rates, 70% and 85%, in two groups (such as medium and high adherence) as significantly different.
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9

MRI Image Processing Concordance

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The image processing consists of the standardized axial, coronal, and sagittal MIP images. All the postprocessed images were used by the MRI readers in their interpretation of the examination. Kendall's coefficient of concordance was calculated to determine agreement between readings (IBM SPSS Statistics 15.0).
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10

Lymphocytic Populations in Celiac Disease

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Study variables were recorded in a database that was set up with the IBM SPSS Statistics 15.0 program (Chicago, USA). Comparisons were performed with two-tailed tests. P-values less than 0.05 were considered statistically significant. A normal distribution could not be assumed for the CD patients’ group, because of the small number of individuals with this diagnosis. Therefore, comparisons related to lymphocytic populations between CD and non-CD patients were performed using the Mann–Whitney U test. The predictive power of flow cytometry was calculated with a receiver operating characteristic (ROC) curve, taking the value at which the sum of the sensitivity and specificity was the highest as the optimal cutoff point.
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