Spss 19.0 statistics software

Manufactured by IBM

Sourced in United States

SPSS 19.0 is a statistical software package developed by IBM. It is designed to analyze and manage data, perform complex statistical analyses, and generate reports. The software provides a wide range of tools for data manipulation, visualization, and modeling, enabling users to gain insights from their data.

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Stata 12, by StataCorp (1 mentions) Originpro 9, by OriginLab (1 mentions)

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SPSS 19.0 statistic software SPSS 19.0 statistics software package SPSS Statistics software version 19.0 for Windows SPSS version 19.0 statistics software SPSS 19.0 statistics SPSS Statistics software 19.0 19.0 SPSS software SPSS Statistics 19 SPSS Statistic 19 SPSS 19.0 IBM

34 protocols using spss 19.0 statistics software

Dietary Treatment Effects on Oxidative Stress

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The study was designed based on preliminary data [22] (link) in order to have a power of 80% and to detect differences between two paired means in relation to the primary efficacy criterion (minimum expected difference in mROS) ≥50 relative fluorescence units (RFU), assuming a common standard deviation of 100 units. Under these premises, at least 32 subjects were considered.
Statistical differences between variables before and after the dietary treatment were analyzed using the paired Student's t-test or the Mann Whitney U-test for non-parametric variables with SPSS 19.0 statistics software (SPSS Statistics Inc., Chicago, IL, USA). The strength of the association between variables was measured by means of Pearson's correlation coefficient. Continuous variables in tables are expressed as mean ± standard deviation (SD) for parametric data or as median and 25th and 75th percentiles for non-parametric data. Qualitative data are expressed as percentages. In the figures, data are represented as mean +standard error (SE). All the tests used a confidence interval of 95% and the threshold of significance for all the analyses was set at p < 0.05.

López-Domènech S., Abad-Jiménez Z., Iannantuoni F., de Marañón A.M., Rovira-Llopis S., Morillas C., Bañuls C., Víctor V.M, & Rocha M. (2018). Moderate weight loss attenuates chronic endoplasmic reticulum stress and mitochondrial dysfunction in human obesity. Molecular Metabolism, 19, 24-33.

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Risk Factors of Adolescent Spondylolisthesis

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Statistical analyses were performed using SPSS 19.0 statistics software (SPSS Inc., Chicago, IL). Descriptive statistics were listed in the form of mean ± SD (standard deviation). An independent-sample t test was employed to assess the difference between groups. Count data distribution was assessed by Chi-square test. Correlation analysis was performed to assess the associations between slip percentage and other parameters in the case group.
To identify the main risk factors of adolescent symptomatic isthmic spondylolisthesis, multiple logistic regression models were constructed using sagittal lumbosacral parameter variables and global sagittal alignment parameters that were of significance in univariate analysis. P < 0.05 was considered as the significant level.
In addition, there are gender differences in several aspects, such as growing speed, and skeletal structure. Subgroup analysis was also performed based on gender differences.

Zhao J., Xiao Y., Zhai X., Chen Z, & Li M. (2018). Difference of Sagittal Alignment between Adolescents with Symptomatic Lumbar Isthmic Spondylolisthesis and the General Population. Scientific Reports, 8, 10956.

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Comprehensive Lumbar Curve Analysis

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Statistical analysis was performed using SPSS 19.0 statistics software (SPSS Inc., Chicago, IL). Descriptive statistics were presented in the form of mean ± standard deviation (SD). ANOVA analysis was used to assess the quantitative data among different periods, and the SNK method was used for pairwise comparison. Pair t-test analysis was utilized to assess the compensation ability of the upper and lower coronal lumbar curve. Correlation analysis was also adopted to clarify the composition and compensation ability of each segment in the whole unfused lumbar region. P < 0.05 was considered statistical significance.

Chen K., Zhai X., Zhou T., Deng Y., Zhang B., Chen S., Yang C, & Li M. (2021). Characteristics analysis of segmental and regional lumbar spontaneous compensation post thoracic fusion in Lenke 1 and 2 adolescent idiopathic scoliosis. BMC Musculoskeletal Disorders, 22, 935.

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Comparative Analysis of Treatment Outcomes

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All data were presented as mean ± standard deviation (SD). One‐way ANOVA was used for comparisons among groups. Tukey's test or Dunnett post hoc test and Student's t test were used for comparisons between groups. P < .05 was considered as statistically significant. Statistical analyses were performed using the spss 19.0 statistics software (SPSS, Chicago, IL).

Luo L., Zhang Y., Chen H., Hu F., Wang X., Xing Z., Albashari A.A., Xiao J., He Y, & Ye Q. (2020). Effects and mechanisms of basic fibroblast growth factor on the proliferation and regenerative profiles of cryopreserved dental pulp stem cells. Cell Proliferation, 54(2), e12969.

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Risk Factors of Thyroid Cancer Lymph Node Metastasis

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Categorical variables are presented as counts and percentages. Chi-square tests and Fisher’s exact tests were utilized when appropriate. Continuous variables were presented as means ± standard deviations, and independent t tests were performed to compare the differences. Logistic regression analysis was performed to identify risk and protect factors of LNM of thyroid cancer. Variables with a P<0.100 in the univariate analysis were considered significant and were included in the subsequent multivariate analysis. A 2-sided P value <0.05 represented statistically significant difference. All statistical analyses were performed using SPSS 19.0 statistics software (SPSS Inc, Chicago, Illinois).

Zhou Y., Sun Z., Zhou Y., Tang C., Jiang X., Sun F., Ma Y, & Cheng J. (2020). Thyroid antibody status exerts insignificant effect on lymph node metastasis of thyroid cancer. Translational Cancer Research, 9(10), 6423-6430.

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Statistical Analysis of Experimental Data

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All data were analyzed using SPSS 19.0 Statistics Software (SPSS, Chicago, IL, USA). The results were represented as the mean ± standard error of the mean (SEM). Each treatment had at least three replicates. The significance between the two groups was determined using an unpaired Student’s t-test. For multiple groups, a one-way ANOVA method was used, and the significance level was set at * p < 0.05, ** p < 0.01.

Du X., Wang Y., Amevor F.K., Ning Z., Deng X., Wu Y., Wei S., Cao X., Xu D., Tian Y., Ye L., Shu G, & Zhao X. (2024). Effect of High Energy Low Protein Diet on Lipid Metabolism and Inflammation in the Liver and Abdominal Adipose Tissue of Laying Hens. Animals : an Open Access Journal from MDPI, 14(8), 1199.

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Statistical Analysis of Experimental Data

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All experiments were performed at least three times. Quantitative data were expressed as mean ± SD and analyzed using SPSS 19.0 statistics software (SPSS, Chicago, IL, USA). Significant differences among groups were determined by Student's t-test or one-way ANOVA. P < 0.05 was deemed to be statistically significant.

Wang P., Chen D., Ma H, & Li Y. (2017). LncRNA SNHG12 contributes to multidrug resistance through activating the MAPK/Slug pathway by sponging miR-181a in non-small cell lung cancer. Oncotarget, 8(48), 84086-84101.

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Entomopathogenic Fungi Effects on Psyllid Mortality

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The mean mortality (%) among psyllids exposed to various entomopathogenic fungi was analyzed using Analysis of Variance (ANOVA) test, and correlation analyses were conducted at p < .05, between Las‐infected and Las‐uninfected psyllid treatments, entomopathogenic fungi, and temperature regimes. Las‐infected and Las‐uninfected mean mortalities for the various entomopathogenic fungi and at the different temperatures were compared using Chi‐square. Mortality percentages in all treatment were corrected using Abbott's formula (Abbott, 1925). To calculate the effects of temperature and entomopathogenic fungi on mean mortality (%) of psyllids, ANOVA tests and Fisher's LSD mean separation tests were performed. The effect of temperature on detoxifying enzyme levels was measured individually for each entomopathogenic fungi by ANOVA test (p < .05), whereas the correlation analyses between detoxifying enzymes expression levels and temperature were determined separately for each entomopathogenic fungi and enzyme combination. SPSS 19.0 statistics software was used to perform all the data analysis.

Hussain M., Akutse K.S., Lin Y., Chen S., Huang W., Zhang J., Idrees A., Qiu D, & Wang L. (2018). Susceptibilities of Candidatus Liberibacter asiaticus‐infected and noninfected Diaphorina citri to entomopathogenic fungi and their detoxification enzyme activities under different temperatures. MicrobiologyOpen, 7(6), e00607.

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PATZ1 Prognostic Significance in Ovarian Cancer

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All data were analyzed using SPSS 19.0 statistics software (SPSS, USA). Chi-square (χ²) tests were employed to evaluate whether PATZ1 expression was correlated with the clinicopathological parameters of SOC. Overall survival curves were constructed by the Kaplan-Meier method and subjected to the log-rank test, with factors including age, CA-125, pathological grade, LN metastasis, FIGO stage, and PATZ1 level. Among them, factors which were shown to be prognostic significant in univariate models were further analyzed in a multivariate Cox regression model to evaluate their independent prognostic values. The hazard ratio (HR) was calculated by setting the group with the lowest hazard as the reference group. The data from PCR and cell experiments were statistically analyzed utilizing the t test. For all analyses, a P-value <0.05 was considered statistically significant.

Zhao C., Yan M., Li C, & Feng Z. (2018). POZ/BTB and AT-Hook-Containing Zinc Finger Protein 1 (PATZ1) Suppresses Progression of Ovarian Cancer and Serves as an Independent Prognosis Factor. Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, 24, 4262-4270.

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Prognostic Significance of TMEM16A in Cancer

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All statistical analyses were performed using SPSS 19.0 statistics software. For survival analysis, 113 cases were randomly assigned to the training set to generate the immunohistochemical optimal cutoff point of TMEM16A proteins by receiver operating characteristic (ROC) analysis. For validation, the relationship between TMEM16A expression, which was classified by ROC analysis-generated cutoff point, and overall survival(OS) were evaluated in the testing set (n = 254) and overall patients (n = 367). The chi-square test or Fisher's exact test was carried out to evaluate the relationship between TMEM16A and clinicopathological variables. The relationship between TMEM16A expression and OS was determined by Kaplan-Meier analysis, and differences in survival probabilities between patient subsets were assessed by the log-rank test. The multivariate Cox proportional hazards model was utilized to determine independent prognostic factors. The correlations between TMEM16A expression and amplification, expression of TMEM16A and E-cadherin were assessed by Phiand Cramers V correlation analysis. Statistical analysis of cellular proliferation, migration and invasion was performed using ANOVA or Student's unpaired t-test. Data from all quantitative assays were expressed as the mean ± standard and values of P < 0.05 were considered statistically significant.

Liu F., Cao Q.H., Lu D.J., Luo B., Lu X.F., Luo R.C, & Wang X.G. (2015). TMEM16A overexpression contributes to tumor invasion and poor prognosis of human gastric cancer through TGF-β signaling. Oncotarget, 6(13), 11585-11599.

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