Spss v19.0 statistical software

Manufactured by IBM

Sourced in United States

SPSS v19.0 is a statistical software package developed by IBM. It provides advanced analytical capabilities for data management, analysis, and reporting. The software offers a wide range of statistical techniques, including regression analysis, correlation, and hypothesis testing, among others. SPSS v19.0 is designed to help users gain insights from their data and make informed decisions.

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Prism v6, by GraphPad (1 mentions)

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13 protocols using spss v19.0 statistical software

Statistical Analysis of Ki-67 Indexes

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SPSS v19.0 statistical software (IBM Corp.) was used for data analysis. Data are expressed as the mean ± standard deviation. The association between the Ki-67 indexes was statistically analysed using the paired Student's t-test. Fisher's exact test was used for comparisons of categorical variables, and paired Student's t-test were used for continuous variables. P<0.05 was considered to indicate a statistically significant difference.

Liu J., He Y., Zhang X., Yan X, & Huang Y. (2020). Clinicopathological analysis of 250 cases of pituitary adenoma under the new WHO classification. Oncology Letters, 19(3), 1890-1898.

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Analyzing Cellular Stress Responses

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All data are expressed as mean ± standard deviation. The differences between groups were
analyzed by one-way analysis of variance (ANOVA) with the Statistical Package for the
Social Sciences (SPSS), v. 19.0 statistical software (IBM, Chicago, IL, USA).
P<0.05 indicated significant differences while
P<0.01 indicated extremely significant differences.

Wang Q., Liu W., Liu G., Li P., Guo X, & Zhang C. (2021). AMPK-mTOR-ULK1-mediated autophagy protects carbon tetrachloride-induced acute hepatic failure by inhibiting p21 in rats. Journal of Toxicologic Pathology, 34(1), 73-82.

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Cardiometabolic Risk Factors Analysis

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Central and dispersion measures were analyzed. Differences between qualitative variables were measured by a Pearson's chi-square and Fisher's exact test. To test the differences between quantitative variables, parametric (Student's T test) and nonparametric tests (Mann-Whitney U or Kruskal-Wallis H) were used according to the goodness of fit test. Multiple comparisons were adjusted after the Bonferroni correction. Odds ratio (OR) values with 95% CI were calculated by conditional logistic regression analysis. Initially, univariate conditional logistic regression analyses were carried out to examine unadjusted associations between the main cardiometabolic risk factors (obesity, diabetes, hypertension, and dyslipidemia) and their potential association variables. Significant variables in these univariate regression analyses (p < 0.10) were then introduced in multivariate analyses with a backward stepwise approach. As this was a merely descriptive study, an a priori sample size was not determined. The level of significance was set below 5%. Data were analyzed using SPSS V19.0 statistical software (IBM Corp., NY, USA).

Queiro R., Coto-Segura P., Braña I., Pino M, & Burger S. (2022). Potential Differences in the Cardiometabolic Risk Profile of Patients with Psoriatic Disease according to Their HLA-C∗06 Status. BioMed Research International, 2022, 1451193.

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Repeated Experiments with Statistical Analysis

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All of the experiments in this study were repeated for at least 3 times, quantitative results are expressed as mean ± standard deviation (SD), and groups were compared using unpaired, two-tailed Student’s t-tests. Statistical analyses were performed using SPSS v. 19.0 statistical software (IBM Corporation; Armonk, NY, USA), and a P-value <0.05 was considered to be statistically significant.

Fu X., Feng Y., Shao B, & Zhang Y. (2021). Taxifolin Protects Dental Pulp Stem Cells under Hypoxia and Inflammation Conditions. Cell Transplantation, 30, 09636897211034452.

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Comparative Analysis of Cryoballoon Generations

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Comparison of 2°and 4°-generation cryoballoons M o l t r a s i o e t a l . presented as frequency or percentage and were compared by Fisher's exact test. The ANOVA test was performed to assess the differences between continuous, normally distributed data for two groups, and the Mann-Whitney test was used otherwise. Statistical significance was considered with a 𝑝-value of <0.05. Lastly, SPSS v.19.0 statistical software (IBM Corp., Armonk, NY, USA) was used for statistical analysis.

Moltrasio M., Sicuso R., Fassini G.M., Riva S.I., Tundo F., Dello Russo A., Casella M., Majocchi B., Zucchetti M., Cellucci S, & Tondo C. (2019). Acute outcome after a single cryoballoon ablation: Comparison between Arctic Front Advance and Arctic Front Advance PRO. Pacing and clinical electrophysiology : PACE, 42(7).

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Prognostic Value of CBX8 Expression

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Correlation between CBX8 expression and clinicopathological features was analyzed using the chi‐squared test. Kaplan–Meier survival analysis and log–rank test were carried out to analyze associations of CBX8 expression with the subgroups of T and N stages. Significance of the variables for survival was determined by using multivariate Cox proportional hazards regression analysis. All statistical conclusions were determined using SPSS v.19.0 statistical software (SPSS, Chicago, IL, USA). Data derived from the experiments were expressed as mean ± SE and compared by using Student's t‐test. P‐value < 0.05 was considered to be statistically significant.

Yuan G., Chen X., Lu J., Feng Z., Chen S., Chen R., Wei W., Zhou F, & Xie D. (2017). Chromobox homolog 8 is a predictor of muscle invasive bladder cancer and promotes cell proliferation by repressing the p53 pathway. Cancer Science, 108(11), 2166-2175.

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Statistical Analysis of Research Data

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SPSS v.19.0 statistical software (SPSS Inc., Chicago, IL, USA) was used for data analysis. All data are expressed as mean ± standard deviation (SD). One-way analysis of variance followed by the Fisher's least significant difference test was used to compare two different groups. P<0.05 was considered to indicate statistically significant differences which were plotted with GraphPad Prism v.6 software (GraphPad, Software, Inc., La Jolla, CA, USA).

Jin W.X., Wang B., Zhang Y.L., Dong R., Wang X.B., Guo J.M., Fan S, & Yu B. (2018). Effects of hepatic blood inflow on liver ultrastructure and regeneration after extensive liver resection in rats with cirrhosis. Experimental and Therapeutic Medicine, 16(3), 2573-2583.

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Statistical Analysis of Experimental Data

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The numerical data were presented as mean ± standard deviation (SD) and analyzed using SPSS v19.0 statistical software (SPSS Inc., Chicago, IL, USA). The significance of the differences in each group was evaluated with a two-tailed Student’s t-test and p-values of <0.05 were considered to be significant.

Wu X., Ma J., Jia S., Zhang X., Zhang X., An Z., Wei Y., Xing X., Wen F., Gao Y, & Bao S. (2022). High Concentration of FBS Can Save mTOR Down-Regulation Caused by Mycoplasmas bovis Infection. Veterinary Sciences, 9(11), 630.

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Evaluating MDIG Expression in HCC

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Statistical analyses were performed using SPSS v19.0 statistical software (SPSS, Chicago, IL, USA). A paired-sample t-test was used to evaluate differences in the expression levels of MDIG mRNA and protein between the HCC specimens and the matched adjacent non-tumour tissues. A two-tailed unpaired Student’s t-test was used to assess differences in cell proliferation rates, colony formation, cell migration and invasion. Significant differences from at least three independent experiments are expressed as the means±s.d. A two-sided P-value<0.05 was considered statistically significant. Pearson’s correlation analysis was used to compare mRNA or protein expression of two genes. A two-sided P<0.05 was considered to be significantly different, and the bigger the correlation coefficient (r) of them, the closer their expression.

Huo Q., Ge C., Tian H., Sun J., Cui M., Li H., Zhao F., Chen T., Xie H., Cui Y., Yao M, & Li J. (2017). Dysfunction of IKZF1/MYC/MDIG axis contributes to liver cancer progression through regulating H3K9me3/p21 activity. Cell Death & Disease, 8(5), e2766-.

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Physiological Responses to Clothing Conditions

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The results are expressed as mean ± standard deviation (SD). The assumption of normality was verified using the Shapiro-Wilk's test. The variables analyzed throughout the submaximal trials (VO₂, ventilation, HR, blood lactate concentration, gastrointestinal temperature, PSI, micro environment temperature, relative humidity, and RPE) were compared using a repeated two-way ANOVA with two within-subject factors (clothing and time). A one-way ANOVA with repeated measures was applied to calculate differences between trials when subjects' gastrointestinal temperature increment, moisture sensation, and the different parameters of heat balance and sweat were studied. When a significant F-value was found, Bonferroni's test was used to establish significant differences between means. The assumption of sphericity was checked using the Mauchly's test when this assumption was violated the Greenhouse-Geisser adjustment was performed. Values of p < 0.05 were considered statistically significant. SPSS V.19.0 statistical software (SPSS Inc., Chicago, Illinois, USA) was used.

Carballo-Leyenda B., Villa J.G., López-Satué J, & Rodríguez-Marroyo J.A. (2017). Impact of Different Personal Protective Clothing on Wildland Firefighters' Physiological Strain. Frontiers in Physiology, 8, 618.

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