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Spss 19.0 analysis software

Manufactured by IBM
Sourced in United States

SPSS 19.0 is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data manipulation, statistical modeling, and visualization. SPSS 19.0 is designed to help users analyze and interpret data from a variety of sources, including surveys, experiments, and observational studies.

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10 protocols using spss 19.0 analysis software

1

Statistical Analysis of Diagnostic Efficacy

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Statistical Product and Service Solutions (SPSS) 19.0 analysis software (IBM Corp., Armonk, NY, USA) was used. Measurement data were expressed as mean ± standard deviation, and detected by t-test. Count data were expressed as percentage, and detected by χ2 test. ANOVA was used for comparison of multiple groups and Dunnett's test was the post hoc test. Receiver operating characteristic (ROC) curve analyses were conducted for diagnostic methods (CT and MRI) and efficacy prediction. Survival curves were drawn using the Kaplan-Meier method, and the long-rank test was employed for survival analysis. Test significance level α=0.05.
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2

Methylprednisolone Effect on AMAN Rabbits

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In both groups (methylprednisolone group, n = 12; saline group,
n = 12), AMAN rabbits were monitored daily until 30 days after
the initiation of treatment. After the follow-up period, the rabbits were
perfused transcardially and the ventral roots of their lumbar cords were excised
for the toluidine blue staining as previously described17 (link). The
number of degenerative axons from every four frame area (single frame,
0.03 mm2) in the ventral roots of the lumbar cord was
counted by a blinded observer17 (link). The frequency of degenerative
axons (the ratio of the number of degenerative axons to the total number of
axons of all frame areas) was calculated for each rabbit. The results were shown
as mean ± standard error. Mann-Whitney U test was
used to compare the frequency of degenerative axons between different groups.
Five normal rabbits without immunization or treatment constituted the histologic
controls. Life-table method was used to evaluate the effect of
methylprednisolone on AMAN rabbits surviving. A p value
of < 0.05 was considered significant. Analysis was performed
with the SPSS 19.0 analysis software by IBM (Armonk, NY).
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3

Comparative Biomechanical Analysis of Knee Joint

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Results are expressed as the mean ± standard error of mean (SEM). Statistical analysis was carried out using SPSS 19.0 analysis software (SPSS Inc., Chicago, IL, USA). Since the sample size is small (n = 6 per group), non-parametric statistical analysis was performed for comparison between each groups. For comparison of the results among medial and lateral sides of each groups, post-hoc multiple comparisons between groups were made using the Kruskal-Wallis test. When significant main effects were found, Wilcoxon rank sum tests were performed for comparison between each groups. A p value < 0.05 was considered to be significant.
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4

Statistical Analysis of Experimental Data

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Routine test data were analyzed using SPSS 19.0 analysis software. Data are reported as the mean ± SD values. Group differences were calculated using a t-test and a Chi-squared test. The pearson’s correlation coefficients were calculated to test the relationship between the variables. RNA sequencing data between two groups were analyzed using the R statistical software package. P < 0.05 was considered to be significantly different.
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5

Statistical Analysis of Experimental Data

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All raw experimental data recorded were processed by Statistical Product and Service Solutions (SPSS) 19.0 analysis software (SPSS Inc., Chicago, IL, USA) and subjected to multiple comparisons. The experimental results obtained were expressed as mean ± standard deviation (x̅±SD), and P<0.05 suggested that the difference was statistically significant. Graphpad Prism 5.0 (La Jolla, CA, USA) was applied for plotting histograms.
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6

Statistical Analysis of Experimental Data

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All data collected in this study were obtained from at least 3 independent experiments
for each condition. SPSS19.0 analysis software (SPSS Inc, Chicago, Illinois) and PRISM 6
(GraphPad software, La Jolla, California) were used for statistical analysis. Statistical
evaluation of the data was performed by 1-way analysis of variance when more than 2 groups
were compared with a single control and t test for comparison of
differences between the 2 groups. Significant differences were assigned to
P values <.05, <.01, and <.001 denoted by *, **, and ***,
respectively. Data were presented as the mean (standard deviation, SD).
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7

Tumor Markers and Liver Transplant

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The correlation between Ki67, VEGF, and p53 and clinicopathological characteristics were analyzed by the χ2 test and Fisher test. The correlation between Ki67, VEGF, and p53 and tumor recurrence after OLT were analyzed by single factor survival analysis and COX multivariate regression. A P value of <0.05 was considered statistically significant. All statistical analyses were performed using the SPSS 19.0 analysis software.
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8

Statistical Analysis of Experimental Data

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SPSS 19.0 analysis software was used for statistical analysis. The data were analyzed using one-way ANOVA or a rank sum test. Numerical data were expressed as the mean ± standard deviation (SD). Differences with p < 0.05 were considered statistically significant.
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9

Statistical Analysis of Experimental Data

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All data collected in the present study, were obtained from at least three independent experiments for each condition. SPSS 19.0 analysis software (SPSS, Inc., Chicago, IL, USA) and GraphPad Prism 6 (Graph Pad Software, La Jolla, CA, USA) were used for the statistical analysis. Statistical evaluation of the data was performed by one-way ANOVA when more than two groups were compared with a single control, and t-test for comparison of differences between the two groups. Significant differences were assigned to p-values <0.05, <0.01, <0.0005 and <0.0001. Data are presented as the mean ± standard deviation (SD).
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10

Comparative Statistical Analysis of Experimental Data

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All data collected in this study were obtained from three or more different repetitions for each condition. The SPSS 19.0 analysis software was used for the statistical analyses, and the statistical evaluations of the data were performed with one-way ANOVA or t-tests for evaluations of the differences between two groups. P values <0.05 was considered significantly difference, and P < 0.01 was considered highly significant. The data are presented as the means AE the standard errors of the mean (SEM).
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