The proportions of traits preferred by owners were analyzed by using frequency procedure of the statistical software SAS (2008 ). Body weight, linear body measurements, and other traits from the life history were analyzed using general linear model procedure fitting rank as fixed effect. Age effect (categorical variable) on quantitative traits (continuous dependent variables) was tested through analysis of co-variance (SPSS for windows, release 16.0, SPSS 2007 ).
Spss for windows release
Manufactured by IBM
Sourced in United States
SPSS for Windows is a statistical software package developed by IBM. It provides a wide range of data analysis and management capabilities, including data entry, data manipulation, statistical analysis, and graphical presentation of results.
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Lab products found in correlation
21 protocols using spss for windows release
1
Analyzing Owner Preferences for Livestock Traits
2
Fremanezumab Efficacy in Headache Outcomes
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Descriptive statistics were generated for all variables. Two-sided chi-squared tests were used to compare categorical data between patients with baseline PCs vs. those without PCs. For within-group comparisons, the paired-samples t-test was used to reveal any potential changes in mean headache outcome scores from baseline to post-fremanezumab follow-up. For between-group comparisons, the changes in mean headache outcome scores were evaluated by subtracting each patient’s baseline value from her/his last value and were calculated with the use of the independent-sample t-tests. Unless otherwise stated, all tests were two-sided, and significance was set at p < 0.05. Statistics were performed by employing the SPSS for Windows (release 27.0; SPSS Inc., Chicago, IL, USA).
3
Molecular Mechanisms of Aldosterone-Producing Adenomas
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Quantitative data are presented as the medians and interquartile ranges. Analyses were performed using SPSS for Windows (release 12.0; SPSS Inc., Chicago, IL), and P values <0.05 were considered to be significant. First, we performed Pearson correlation analysis for the relationship of GNRHR with PAC mediated by GnRH stimulation and LHCGR mRNA levels. Second, multiple regression analysis was conducted to investigate the association after adjustment for age, gender, serum K levels, and adenoma diameter. Third, unpaired comparisons in clinical and pathological characteristics were carried out by nonparametric Mann–Whitney U test. Finally, we tested the effect of KCNJ5 mutation on GNRHR mRNA expression by multiple regression analysis adjusted by age, gender, serum K level, and adenoma diameter.
4
Comparing Treatment Effects with One-way ANOVA
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One-way ANOVA (SPSS for Windows, release 10.10, Standard Version; SPSS, Inc., Chicago, IL, USA) was used to identify significant differences between the GZ and the three SCT-CM-treated groups. In addition, differences in the responses of the SCT-CM- and other two SCT-CM-treated groups (FSCT-CM and ASCT-CM) were evaluated using a post-hoc test (SPSS for Windows, release 10.10, standard version; SPSS, Inc.) of the variance and significance. All values are reported as the means ± SD, and a P-value <0.05 was considered to indicate a statistically significant difference.
5
Rubella Biomarkers for Congenital Rubella Syndrome
6
Epidemiology of Viral Hepatitis Markers
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The prevalence rates of HBV and HCV markers were calculated for the total study population. Continuous variables were reported as the mean ± standard deviation. Descriptive statistics were generated for the responses, and the chi-squared test (χ2) for independence or for trend was used to assess the association of categorical variables and anti-HBc and anti-HBs status by using the Statistical Package for the Social Sciences (SPSS for Windows, release 20.0; SPSS, Inc., Chicago, IL, USA). The results were considered statistically significant when p < 0.05.
7
Comparative Statistical Analysis of Groups
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Statistical significance between the groups was analyzed with One-way Analysis of Variance (ANOVA) (SPSS for Windows, Release 10.10, Standard Version, Chicago, IL, United States) followed by Tukey post hoc t-test for multiple comparisons. All values are presented as the means ± SD, and a p value (p < 0.05) is determined as statistically significant.
8
Evaluating Statistical Significance in Research
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Statistical significance was evaluated using one-way Analysis of Variance (ANOVA) (SPSS for Windows, Release 10.10, Standard Version, Chicago, IL, USA) followed by Tukey's post hoc t-test for multiple comparison. All data were expressed as the mean±standard deviation (SD). A P value less than 0.05 is considered to be statistically significant.
9
Capabilities and Work Functioning in MS
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SPSS for Windows (release 23.0) was used for data analysis. Workers from the general population were matched with workers with MS using fuzzy case-control matching for gender (tolerance = 0), age (tolerance = 8), working hours (tolerance = 5) and level of education (tolerance = 1). Differences in demographics, self-rated health, work ability, work functioning and capability aspects between workers with MS and the general working population were analysed using parametric or non-parametric tests. Additionally, using Wilcoxon Signed Rank Tests, we examined discrepancies between the importance of each value (A), whether the value was enabled (B) and whether the person was able to achieve the value (C), but only for important values (score 4–5). Spearman’s rho correlation analyses were performed to examine whether the capability set and overall capability item were related to measures of work functioning and health. Correlation coefficients between 0.15–0.29 were interpreted as weak, 0.3–0.59 were interpreted as moderate and 0.6–1 were interpreted as strong [32 ]. To correct for multiple testing a Bonferroni correction was used for the interpretation of statistical significance. Due to the exploratory nature of the analyses for discrepancies between A, B and C, a p value of 0.01 was considered trend significant.
10
One-way ANOVA for Drug Evaluation
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One-way ANOVA was used to identify significant differences between the No and Lop treated groups (SPSS for Windows, Release 10.10, Standard Version, Chicago, IL, USA). Additionally, differences between the Lop+Vehicle treated group and the Lop+Urd treated group were evaluated by a post hoc test (SPSS for Windows, Release 10.10, Standard Version) of the variance and significance levels. All values are expressed as the means±SD. A P value of <0.05 is considered significant.
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