Spss 22.0 statistical package

Manufactured by IBM

Sourced in United States

SPSS 22.0 is a statistical software package developed by IBM. It provides advanced analytical capabilities for data management, analysis, and visualization. The core function of SPSS 22.0 is to enable users to perform statistical analysis on a wide range of data types, including numerical, categorical, and time-series data.

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Version 15, by MedCalc (1 mentions) Originpro 2019c, by OriginLab (1 mentions) R software version 3, by R Project for Statistical Computing (1 mentions) Prism 8, by GraphPad (1 mentions)

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Statistical Package for the Social Sciences version 22.0 (SPSS, SPSS 22.0 Statistical Package Program for Windows SPSS version 22.0 J statistical software package SPSS version 22.0 statistical package SPSS 22.0 Statistical Package Program for Windows (SPSS; SPSS 22.0 statistical software package SPSS Statistics 22.0 statistical package Statistical Package for Social Science version 22.0 (SPSS, Statistical Package of Social Sciences (SPSS version 22.0). SPSS statistical software package for Windows (22.0)

56 protocols using spss 22.0 statistical package

Prognostic Factors for HCC with PVTT

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Demographic and clinical characteristics were summarized as the median and range or number. Most experimental data have been converted to categorical variables based on cutoff values, which were calculated based on the maximum Youden index (sensitivity + specificity − 1) values. Categorical variables were detected using the chi-square test to compare the differences between two groups. Detection of continuous variables conforming to normal distribution and variance homogeneity was determined using the t-test. Overall survival (OS) was analyzed using the Kaplan–Meier method, which was calculated from the date of diagnosis of HCC with PVTT to death or the last follow-up time. Univariate and multivariate Cox proportional hazards regression analyses were carried out to identify significant factors predicting the risk of death. The nomogram was established using independent risk factors affecting prognosis, which is a visual presentation of the Cox regression model. The performance of the nomogram was measured by concordance index (c-index) and assessed by calibration which was performed by bootstrapping. Analyses were performed using SPSS 22.0 statistical package (SPSS, Inc., Chicago, IL, USA) and RMS packages in R version 3.0.2. p value < 0.05 was considered statistically significant.

Liu Y., Xue D., Zhang X., Gao F., Sun L., Yang X., Li Y., Zhang Q., Zhu B., Niu S., Huang Y., Hu Y, & Wang X. (2020). Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment. BioMed Research International, 2020, 1473718.

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Statistical Analysis of Experimental Data

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Data were analyzed by one-way ANOVA and multiple comparisons with the Bonferroni-correction method using SPSS 22.0 statistical package (SPSS Inc., Chicago, IL). All data were expressed as the means ± standard error of the mean (SEM). The significance value and a trend toward differences were set at levels of P < 0.05 and 0.05 ≤ P < 0.10, respectively. The R package of “Hmisc” was used for calculating the Spearman's correlation coefficient.

Wang K., Zhu Q., Kong X., Song M., Azad M.A., Xiong L., Zheng Y, & He Q. (2020). Dietary Probiotics or Synbiotics Supplementation During Gestation, Lactation, and Nursery Periods Modifies Colonic Microbiota, Antioxidant Capacity, and Immune Function in Weaned Piglets. Frontiers in Veterinary Science, 7, 597832.

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Vitamin D and Cardiac Biomarkers in Coronary Heart Disease

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Continuous parameters following a nonnormal distribution were presented as median and interquartile range (IQ). Normally distributed parameters were presented as mean ± standard deviation; categorical data were given as percentages. Based on serum 25OHD concentrations, we formed four categories according to widely used cut-off values [22 (link)–24 (link)]: severe deficiency, less than 10.0 ng/mL; moderate deficiency, 10.0–19.9 ng/mL; insufficiency, 20.0–29.9 ng/mL; and 25OHD optimal range, 30.0–100.0 ng/mL. For nanomoles per liter, multiply by 2.496. Serum 25OHD, PTH, and NT-pro-BNP concentrations were logarithmically transformed before being used in parametric procedures. Comparisons among CHD groups were performed by analysis of variance (ANOVA) with P for linear trend for continuous parameters or ANOVA on ranks for nonparametric data. A χ² test was performed for categorical variables. Simple correlation analyses (Pearson or Spearman correlations where appropriated) and multiple linear regression analyses including several independent variables were performed to examine whether 25OHD levels were associated with NT-pro-BNP levels. A P value <0.05 was considered statistically significant. Data were analysed using SPSS 22.0 statistical package (SPSS 22.0 Inc., Chicago, IL).

Passeri E., Rigolini R., Costa E., Verdelli C., Arcidiacono C., Carminati M, & Corbetta S. (2016). Serum NT-proBNP Levels Are Not Related to Vitamin D Status in Young Patients with Congenital Heart Defects. Disease Markers, 2016, 3970284.

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Statistical Analysis of Data

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The SPSS 22.0 statistical package (Chicago, IL, USA) was used for the statistical analysis. All data were expressed as the mean ± standard deviation (mean ± SD). An independent sample t-test was used among the groups, and the counting data were expressed as a percentage (P<0.05). All tests were two-tailed and a probability value of 0.05 was considered statistically significant.

Wu W., Zhou J., Zhu D, & Ma S. (2023). Effect of PKH-26-labeled exosomes derived from bone marrow mesenchymal stem cells on corneal epithelium regeneration in diabetic mice. Annals of Translational Medicine, 11(4), 167.

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PD-L1 and A2aR Expression in Cancer

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SPSS 22.0 statistical package software was used for statistical analysis. The relationship between PD-L1 and A2aR expression in tumor issues and clinicopathological characteristics of patients was analyzed by χ² test. The correlation between A2aR and PD-L1 expression was evaluated by Spearman correlation test. For prognostic factors, the univariate analysis was conducted by Kaplan-Meier method and log-rank test and multivariate analysis were performed by Cox proportional hazard model. P <0.05 was defined as the statistically significant.

Wu Z., Yang L., Shi L., Song H., Shi P., Yang T., Fan R., Jiang T, & Song J. (2019). Prognostic Impact of Adenosine Receptor 2 (A2aR) and Programmed Cell Death Ligand 1 (PD-L1) Expression in Colorectal Cancer. BioMed Research International, 2019, 8014627.

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Triplicate Examination Analysis with SPSS

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All the examinations were accomplished in triplicate. The analysis of the data was performed by means of the SPSS 22.0 statistical package (SPSS Inc., Chicago, IL, USA). The one-way ANOVA and descriptive statistics such as frequency calculations were used for data analysis, and the independent-samples t test was used for further analysis. p < 0.05 was considered statistically significant.

Alyousif M.S., Al-Abodi H.R., Almohammed H., Alanazi A.D., Mahmoudvand H., Shalamzari M.H, & Salimikia I. (2021). Chemical Composition, Apoptotic Activity, and Antiparasitic Effects of Ferula macrecolea Essential Oil against Echinococcus granulosus Protoscoleces. Molecules, 26(4), 888.

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Evaluating Piglet Growth Factors

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All data were analyzed as a 2 × 2 factorial arrangement of treatments by ANOVA using the general linear model procedure of the SPSS 22.0 statistical package (SPSS Inc., Chicago, IL, USA). The statistical model included BA, IUGR, and their interactions. Differences in means in the different groups were analyzed using the Tukey-Kramer post-hoc test when the interaction was valid (P < 0.05). P-values < 0.05 represent significant differences. The individual piglets were considered the experimental unit. The data are expressed as means with their pooled standard error of the means (SEM).

Liu Y., Azad M.A., Kong X., Zhu Q, & Yu Z. (2022). Dietary bile acids supplementation modulates immune response, antioxidant capacity, glucose, and lipid metabolism in normal and intrauterine growth retardation piglets. Frontiers in Nutrition, 9, 991812.

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Statistical Analysis of Clinical Outcomes

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Statistical analyses were performed by the SPSS 22.0 statistical package (Chicago, Illinois, United States). Continuous variables were reported as mean ± SD or as median with interquartile range. Continuous variables were compared by the t-test (normal distribution) or Kruskal–Wallis test (non-normal distribution). Comparisons of continuous variables among three groups were performed by ANOVA. Categorical variables were expressed as frequencies and compared by chi-square test.
Multivariate logistical analysis was performed to determine independent predictors of PMI after adjustment for significant variables by univariate analysis (P < 0.05). Events rates were calculated using the Kaplan–Meier method. Analysis of factors relative to reported events was performed by multivariate Cox proportional hazards modeling. Hazard ratios (HRs) were presented with 95%CIs. A value of P < 0.05 was considered to show statistical significance.

Li Y., Li D.B., Zhao L.D., Lv Q.B., Wang Y., Ren Y.F, & Zhang W.B. (2022). Effects of bilirubin on perioperative myocardial infarction and its long-term prognosis in patients undergoing percutaneous coronary intervention. World Journal of Clinical Cases, 10(6), 1775-1786.

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Statistical Analysis of Cell Experiments

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All the data obtained from cell experiments were analyzed by one-way ANOVA and multiple comparisons were conducted with Duncan’s multiple range test using the SPSS 22.0 statistical package (SPSS Inc., Chicago, IL, USA). Images were generated with GraphPad Prism 7. All analyses were performed with three independent experiments. All data are expressed as the means ± standard error of the mean (SEM). The values were considered statistically significant when p < 0.05.

Ma C., Wang F., Zhu J., Wang S., Liu Y., Xu J., Zhao Q., Qin Y., Si W, & Zhang J. (2024). 18Beta-Glycyrrhetinic Acid Attenuates H2O2-Induced Oxidative Damage and Apoptosis in Intestinal Epithelial Cells via Activating the PI3K/Akt Signaling Pathway. Antioxidants, 13(4), 468.

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Predictors of Post-Liver Transplant Mortality

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Continuous variables were expressed as median and interquartile range and the categorical variables were expressed as counts and percentage, respectively. The primary outcome was post-transplant mortality. For reference purposes, the DMG area and BMD of HCC LT recipients were compared with age and sex matched non-HCC LT recipients who were transplanted during the study duration at our institution using Mann-Whitney test. Cox regression analysis was used to examine the predictors of post-transplant mortality. DMG area, VF area and SF area and BMD were included as the variables of interest in addition to various donor and recipients factors including age at LT, sex, alpha fetoprotein (AFP), diabetes, etiology of liver disease, serum bilirubin, creatinine and INR at LT, pre-transplant number of lesions, largest diameter , donor age and cold ischemia time. Since explant information is not known prior to the time of LT, number of lesions and largest diameter on the explant were not included as predictive variables. Variable with p-value <0.1 on univariate analysis were included to perform the multivariable analysis. Since we were interested in the effect of DMG area on post-transplant mortality, DMG area was forced in the multivariable model.
All analyses were performed using SPSS 22.0 statistical package.

Sharma P., Parikh N.D., Yu J., Barman P., Derstine B.A., Sonnenday C.J., Wang S.C, & Su G.L. (2016). Bone Mineral Density Predicts Post-transplant Survival among Hepatocellular Carcinoma Liver Transplant Recipients. Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society, 22(8), 1092-1098.

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