The SPSS version 13.0 statistical software (IBM, Armonk, NY USA) was used for data analysis. Paired t-test was used to analyze the statistical difference in the D90, V90, V100, V150, and seed numbers between the preoperative and postoperative conditions; P < 0.05 was defined as statistically significant.
Spss version 13.0 statistical software
Manufactured by IBM
Sourced in United States
SPSS version 13.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. The software is designed to handle a wide range of data types and can be used for a variety of applications, including market research, social science research, and business intelligence.
Automatically generated - may contain errors
Lab products found in correlation
30 protocols using spss version 13.0 statistical software
1
Dosimetric Analysis in Radiotherapy
2
Dose Calculation for Radioactive Seeds
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According to AAPM TG-43,[ 21 ] the formula D = 1.44 × S K × Λ × (1/R 2 ) × g (r) × Φ an × T 1/2 was used to calculate the dose at 1-15 mm from the center of different-activity seeds.
Where D is the total integral dose in cGy, S K is the activity in mCi or air kerma strength in U of the point source, 1 mCi = 3.7 × 10 7 Bq Λ is the dose rate constant at 1 cm in cGy/h × mCi or in cGy/h × U of the source, equal to 0.981, g (r) is the radial dose function, equal to 1.139/r0.474, Φ an is the average anisotropy factor in the point source approximation, equal to 0.93, and T 1/2 is the half-life in hours of the radioactive seeds, equal to 1425.6 h.
The dose and count values at the same point of the same seed were related. SPSS version 13.0 statistical software (IBM, Armonk, NY USA) was used to calculate the equation and the correlative curve. First, all count values and doses of the 70 seeds were related. The correlative equations and curves were calculated. Second, the correlative equation and curve were calculated for every seed group with the same activity.
Where D is the total integral dose in cGy, S K is the activity in mCi or air kerma strength in U of the point source, 1 mCi = 3.7 × 10 7 Bq Λ is the dose rate constant at 1 cm in cGy/h × mCi or in cGy/h × U of the source, equal to 0.981, g (r) is the radial dose function, equal to 1.139/r0.474, Φ an is the average anisotropy factor in the point source approximation, equal to 0.93, and T 1/2 is the half-life in hours of the radioactive seeds, equal to 1425.6 h.
The dose and count values at the same point of the same seed were related. SPSS version 13.0 statistical software (IBM, Armonk, NY USA) was used to calculate the equation and the correlative curve. First, all count values and doses of the 70 seeds were related. The correlative equations and curves were calculated. Second, the correlative equation and curve were calculated for every seed group with the same activity.
3
Genetic Allele Frequency Analysis
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Statistical significance of the differences in the frequency of alleles and genotypes using the Chi-square test was applied using the Statistical Package for Social Sciences (SPSS) version 13.0 statistical software (SPSS, Chicago, USA).
Odds ratio (OR) and 95% confidence intervals (95% CI) were calculated when it was appropriate to assess the relative risk conferred by a particular allele and genotype. Hardy-Weinberg equilibrium was tested for goodness-of-fit Chi-square test to compare the observed genotype frequencies among the subjects with the expected genotype frequencies.
A p value less than 0.05 (P < 0.05) was considered to be statistically significant.
Odds ratio (OR) and 95% confidence intervals (95% CI) were calculated when it was appropriate to assess the relative risk conferred by a particular allele and genotype. Hardy-Weinberg equilibrium was tested for goodness-of-fit Chi-square test to compare the observed genotype frequencies among the subjects with the expected genotype frequencies.
A p value less than 0.05 (P < 0.05) was considered to be statistically significant.
4
Cell Proliferation and Gene Expression
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The results are presented as the mean ± standard deviation. Proliferation assay and real‐time PCR data were analyzed using paired t‐tests. Statistical analysis was conducted using SPSS version 13.0 statistical software (SPSS Inc., Chicago, IL, USA). A two‐tailed P value of < 0.05 was considered statistically significant.
5
VEGFR mRNA and K-ras Protein Correlation
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All the data are presented as the mean ± standard error of the mean. SPSS version 13.0 statistical software (SPSS, Inc., Chicago, IL, USA) was used for analysis of variance. The correlation between the VEGFR mRNA level and K-ras protein expression was analyzed using Pearson correlation. P<0.05 was considered to indicate a statistically significant difference.
6
Triplicate Experiments with Statistical Analysis
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All experiments in this study were executed in triplicate, and the mean value was calculated with standard deviation. Statistical analysis was performed using SPSS version 13.0 statistical software (SPSS Inc., Chicago, IL, USA) for analysis of variance. Graphs were created by Origin software (Origin Lab Co., Pro.8.0, Northampton, MA, USA). Differences among groups were considered significant when p < 0.05.
7
Statistical Analysis of Experimental Data
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All the experiments were carried out in triplicate. Statistical analysis was performed using SPSS version 13.0 statistical software (SPSS Inc., Chicago, IL, USA). Graphs were created with Origin software (Origin Lab Co., Pro.8.0, Northampton, MA, USA). The differences were considered significant when p < 0.05, and p < 0.01 was used to indicate a greater significance.
8
Comparative Statistical Analysis of Data
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Statistical analysis was performed using SPSS version 13.0 statistical software (SPSS, Inc., Chicago, IL, USA) and group comparisons were conducted using a t‑test. All values are presented as the mean ± standard error (SE). P<0.05 was considered to indicate a statistically significant difference.
9
Analyzing DAB2IP Expression in Pancreatic Cancer
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The experimental data were presented as mean ± SD. All statistical analyses were performed using the SPSS version 13.0 statistical software (SPSS Inc, Beijing, China). Differences in DAB2IP mRNA and protein levels between the pancreatic cells and H6C7 were assessed by 1-way analysis of variance, and the differences between groups were assessed using the Student-Newman-Kuels test. Value of α = .05 (2-sided) was set as the difference level. Differences in DAB2IP protein expression levels between the pancreatic cancer tissues and the adjacent tissues were assessed using 2 related sample’s Wilcoxon tests. The relationships between DAB2IP protein expression and clinical pathological parameters were analyzed using 2 independent samples in Wilcoxon tests. Value of P < .05 was considered statistically significant.
10
Statistical Analysis of Quantitative Data
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Statistical analysis was performed using the SPSS version 13.0 statistical software (SPSS Inc., Chicago, IL). Quantitative data are presented as the standard deviation (SD). Fisher’s exact test and χ2 test were applied for statistical analysis. Results were considered statistically significant at p<0.05. The coefficient of determination was detected by Cronbach’s alpha analysis.
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