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Spss pc statistical package

Manufactured by IBM
Sourced in United States

SPSS/PC+ is a statistical software package developed by IBM. It provides advanced analytical capabilities, enabling users to perform a wide range of statistical analyses, data management, and visualization tasks. The core function of SPSS/PC+ is to offer a comprehensive set of statistical tools for researchers, analysts, and decision-makers to explore, analyze, and interpret data.

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Lab products found in correlation

12 protocols using spss pc statistical package

1

Statistical Analysis of Research Outcomes

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Results (in text and tables) are expressed as mean ± SD or median plus range, where applicable. Chi-square or Fisher’s exact tests were used for contingency tables. Quantitative differences between groups were analyzed by using Student’s unpaired t-test. Data were analyzed with the SPSS PC statistical package (version 20.0). Differences with a value of p < 0.05 were considered statistically significant.
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2

Analyzing Serum Biomarkers and Diabetes

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Statistical analysis was performed using the SPSS/PC statistical package (version 19 for Windows; SPSS, Chicago, IL). For clinical and anthropometric variables, normal distributed data was expressed as mean value and SD, and for variables with no Gaussian distribution, values were expressed as median (25–75th percentile). For statistical analysis, values of variables that did not have a Gaussian distribution were logarithmically transformed.
The hypothesis testing for continuous variables was performed using t-test (or the Mann-Whitney test in the event of non-normality of distributions). Associations between the qualitative characteristics were tested by χ2 test. Linear regression analysis was used to determine what variables were related to sTWEAK and sCD163 serum concentrations.
Logistic regression analysis was used to estimate odd ratios of presenting type 2 diabetes. Results were expressed as standardized coefficient (β) and 95% confidence interval for β [95% CI(B)]. To evaluate dose-response relationships, P values for trend were calculated. In all cases the level of rejection of a null hypothesis was α<0.05.
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3

Assessing Functional Outcomes After SAH

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Survival and functional outcomes at discharge and at 3 months were assessed using GOS. To assess the validity of this approach, we performed a confirmatory univariate analysis using chi-squared tests for categorical variables, two-tailed t tests for normally distributed continuous variables, and Mann-Whitney U tests for non-normally distributed continuous variables. The Mann-Whitney test was used for non-categorical variables (age, bicaudate distance, and third ventricle diameter). The following variables were tested by univariate logistic regression analysis: sex, presence of comorbidities (hypertension, smoking, diabetes mellitus), pre-operative acute hydrocephalus, cerebral edema, bicaudate distance, third ventricle distance, and clinical outcome. A logistic regression analysis with a forward stepwise method was then performed to assess the independent association of acute paraparesis after SAH with other clinical and radiologic factors. Statistical analyses were performed using the SPSS/PC+ statistical package (SPSS Inc., Chicago, IL).
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4

Statistical Analysis of Results

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We performed statistical analysis using the SPSS/PC+ statistical package (SPSS Inc., Chicago, IL, USA) based on the results of this study. Multiple comparisons evaluated the significance between groups using the Tukey’s test using one-way analysis of variance (ANOVA), with a significance level of p < 0.05.
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5

Comparative Statistical Analysis of Findings

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Statistical analyses were carried out using the SPSS/PC+ statistical package (SPSS Inc., Chicago, IL, USA). Significant differences between results were identified using one-way analysis of variance (ANOVA) and Tukey’s test for multiple comparisons. The significance level was set at p < 0.05.
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6

Statistical Analysis of Experimental Data

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Results are expressed as mean ± SD (standard deviation). Student’s t-test or one-way ANOVA were carried out to determinate differences between groups. Univariate association was tested by Pearson (parametric variables) or Spearman (nonparametric variables) correlation analysis. We used SPSS/PC+ statistical package (version 22.0; SPSS, Chicago, IL, USA) for the statistical analyses. p-values < 0.05 were considered statistically significant.
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7

Physiological Responses in Experimental Chambers

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Three experimental chambers were set up, each containing ten animals. Statistical analyses were performed using the SPSS/PC+ statistical package (SPSS Inc, Chicago, IL, USA). Significant differences between groups were identified using one-way analysis of variance (ANOVA) and Duncan’s test for multiple comparisons. The significance level was set at P < 0.05. Water temperature and physiological responses were examined with the two-way ANOVA followed by Tukey’s HSD post hoc tests after testing for normality and homogeneity of the data. The correlation between physiological responses was assessed with the Spearman correlation coefficient.
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8

Prevalence of Chronic Liver Disease

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The prevalence of overt and occult chronic liver disease, cirrhosis and its comorbidities was calculated by dividing the number of affected individuals by the total number of subjects tested in the overall population. Normally distributed continuous variables (e.g., age) were reported as means with standard deviations and compared with Student’s t test or one-way ANOVA test for multiple comparisons when appropriate. Categorical variables were reported as proportions and compared using the Chi-square test with continuity correction.
Data analyses were conducted using the SPSS PC statistical package (SPSS, Inc., Chicago, IL). All reported p values are two-tailed.
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9

Cocaine Sensitization and Reward Mechanisms

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Results are reported as mean ± SEM. Immunoblot data was collected by densitometry and expressed as a percent of controls. Following the appropriate ANOVA, comparisons were performed using Bonferroni post-hoc tests. For the locomotor sensitization data the dependent measure was horizontal activity (beam breaks). For CPP data, the statistical significance of each dependent measure was first evaluated using an ANOVA with Treatment as the between-subjects factor followed by Student's paired t-tests for post-hoc comparisons. For the dose response study that examined the effect of SKF 83959 on the maintenance of cocaine SA under the FR5 schedule of reinforcement, the active lever response was analyzed using repeated measures of ANOVA with Dose (0, 0.05, 0.5, 1.5 mg/kg SKF 83959) as the within-subject factor. For the reinstatement studies, the active lever response was analyzed using repeated measures of ANOVA with Treatment (Cocaine, Cue, SKF 83959, TAT-D1 peptide, Cocaine+SKF 83959, Cue+SKF 83959, Cocaine+TAT-D1 peptide) as the within-subject factor. Planned comparisons between groups were done using paired Student's t-test.
Computations were performed using the SPSS/PC+ statistical package.
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10

Statistical Analysis of Transcription Factor Expression

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Results were expressed as median and [range]. Mann-Whitney U test for unpaired values was used to assess the statistical significance of the differences between groups. A P value of <0.05 was considered statistically significant. Differences in frequencies of TF expression were evaluated by Chi-square test. All analyses were performed by the SPSS PC statistical package, version 20.00 (IBM SPSS, Armonk, NY, USA).
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