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Spss statistical software version 11

Manufactured by IBM
Sourced in United States

SPSS is a statistical software package for data analysis, version 11.5. It provides core functionalities for statistical computations and data manipulation.

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Lab products found in correlation

23 protocols using spss statistical software version 11

1

Molecular Profiling of Cellular Responses

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Values are expressed as mean ± SD. Comparisons were made using one-way analysis of variance or Student’s t-test using SPSS statistical software, version 11.0 (SPSS). In all analyses, P < 0.05 indicated statistical significance.
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2

Cytokine Levels in Rabbit Lung

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Statistical analysis was performed using SPSS statistical software, version 11.0 (SPSS, Inc., Chicago, IL, USA). Measurement data are expressed as mean ± standard deviation, and were tested using the independent samples Student’s t-test. Count data were analyzed using the χ2 test. Spearman’s rank correlation analysis was used to analyze the correlation of IL-6 and IL-10 of rabbit lung tissue in the three groups. P<0.05 was considered to indicate a statistically significant result.
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3

Comparative Pharmacological Evaluation

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All data are expressed as mean ± SD. Statistical analyses were conducted using SPSS statistical software, version 11.0 (SPSS, Inc., USA). Comparisons of drug effects were carried out using the Student’s t-test. A p-value of <0.05 was considered to indicate a statistically significant difference.
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4

Statistical Analysis of Experimental Data

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SPSS statistical software (version 11.0) was used to perform the statistical analyses and all data are expressed as the mean ± standard error of the mean. Multi-group comparisons were performed using one-way analysis of variance, and the pre- and post-treatment data from each group was compared using the unpaired t-test. P<0.05 indicated a statistically significant difference.
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5

Statistical Analysis of Experimental Data

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Data analysis was performed using SPSS® statistical software version 11.0 (SPSS Inc., Chicago, IL, USA). The data are expressed as the mean ± standard error of the mean from ≥12 independent experiments. Each treatment was performed in triplicate culture wells. The differences between the means of each group were tested using a one-way analysis of variance followed by the Student-Newman-Keuls test to compare between multiple groups. P<0.05 was considered to indicate a statistically significant difference.
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6

Statistical Analysis of Experimental Data

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SPSS statistical software, version 11.0 (SPSS Inc., Chicago, IL, USA) was used to analyze data using one-way analysis of variance (ANOVA) and with LSD post-hoc test (when data were found to be normally distributed) and Kruskal-Wallis test (when data were not normally distributed) so as to evaluate comparisons between groups, and differences between groups, respectively. The survival curves were determined using the Kaplan-Meier method and the log-rank test was used to compare the curves. All values are expressed as mean ± standard deviation (SD) and P<0.05 was considered to indicate a statistically significant result.
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7

Statistical Analysis of Experimental Data

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Each experiment was repeated at least three times. The data were expressed as mean ± SD. The differences in the data among groups were statistically analyzed with one-way analysis of variance (ANOVA) using the SPSS statistical software version 11.0 (SPSS Inc, Chicago, USA). P-values less than 0.05 were considered to be statistically significantly different.
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8

Statistical Analysis of Continuous and Categorical Variables

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Continuous variables are expressed as the mean ± SD and categorical variables were reported as counts and frequencies. Intergroup differences were compared by using analysis of variance or the Kruskal-Wallis test for overall comparisons and the T-test or Mann-Whitney U-test for two-group comparisons. Statistical analyses were performed with SPSS statistical software version 11.0 (Cary, North Carolina). All statistical tests were 2 sided, and a p-value < 0.05 was considered significant.
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9

Liver Function Test Abnormalities

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Data are presented as mean, standard deviations (SD) and median values. Patients with abnormal LFTs were subdivided into two groups: women with elevated GGT and women with elevated aminotransferases and/or FIB-4 score. Student's t-test, Fisher's exact test and chi-square test were used to calculate differences between groups. Simple correlations were assessed using Pearson's correlation coefficient. Pvalue <0.05 was considered statistically significant. All statistical analyses were performed with SPSS statistical software version 11.0 (SPSS Inc., Chicago, IL, USA).
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10

Cardiac Function and Mitral Incompetence

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Grouped variables were compared using chi-square test with Yates’ correction. Besides, McNemar’s test was used to assess the relationship between preoperative ejection fraction and mitral incompetence. All the analyses were performed using the SPSS statistical software, version 11.5 (SPSS Inc., Chicago, IL).
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