Spss version 13.0 statistical software package

Manufactured by IBM

Sourced in United States

SPSS version 13.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data, providing users with a wide range of statistical tools and techniques. The software supports various data types and offers a user-friendly interface for data management, analysis, and visualization.

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SPSS version 13.0 statistical package SPSS statistical software package version 13.0 SPSS 13.0 statistical software package SPSS version 13.0 statistical software SPSS® statistical package, version 13.0 SPSS 13.0 statistical package SPSS version 13.0 statistical SPSS software package, version 13.0 SPSS statistical software version 13.0 SPSS 13.0 software package

5 protocols using spss version 13.0 statistical software package

Evaluating Renal Fibrosis with ARFI Imaging

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SPSS version 13.0 statistical software package (SPSS, Chicago, IL, USA) was used for data analysis. The mean SWVs, renal length, parenchymal thickness, and interlobar arterial RI among different groups were analyzed by one-way analysis of variance (ANOVA) and the Student-Newman-Keuls test. Correlations between ARFI and conventional US parameters with variables (glomerular sclerosis, tubulointerstitial damage, vascular sclerosis, histologic scores, serum creatinine, and e-GFR) were analyzed by using Pearson's correlation coefficients.
The diagnostic performance of ARFI imaging and conventional US in identifying renal histological fibrosis was assessed by receiver operating characteristic (ROC) curves. The optimal cut-off values for the prediction of different group with CKD were chosen to maximize the sum of sensitivity and specificity. Sensitivity, specificity, and positive and negative predictive values were calculated after the cut-off values were optimized. P<0.05 was considered statistically significant.
Intraclass correlation coefficients (ICCs) were used to assess the intra- and inter-observer reliability of the SWV measurements. Agreement was indicative of poor (ICC<0.40), fair to good (ICC = 0.40 to 0.75) or excellent (ICC>0.75).

Hu Q., Wang X.Y., He H.G., Wei H.M., Kang L.K, & Qin G.C. (2014). Acoustic Radiation Force Impulse Imaging for Non-Invasive Assessment of Renal Histopathology in Chronic Kidney Disease. PLoS ONE, 9(12), e115051.

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Statistical Analysis of Continuous and Categorical Data

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Statistical analysis was performed using the SPSS version 13.0 statistical software package (SPSS Inc., Chicago, IL, USA). Continuous data were expressed as the mean ± standard deviation (SD) or median (inter-quartile range). Categorical variables were presented as the number and the percentages. Continuous variables were compared with the use of Student's t-test or Mann-Whitney U-test. Categorical variables were compared with Chi-square test or Fisher's exact test. Statistical significance was defined as a value of P < 0.05.

Zhang H.M., Wang X.T., Zhang L.N., He W., Zhang Q, & Liu D.W. (2017). Left Ventricular Longitudinal Systolic Function in Septic Shock Patients with Normal Ejection Fraction: A Case-control Study. Chinese Medical Journal, 130(10), 1169-1174.

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Statistical Analysis of Biomedical Data

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Statistical analyses were performed using the SPSS version 13.0 statistical software package (SPSS, Inc.). Statistical tests for data analysis included log rank test, χ² test, Spearman-rank correlation test, Student's 2-tailed t-test and one-way ANOVA followed by Newman-Keuls test. Multivariate statistical analysis was performed using a Cox regression model. Data are presented as the mean ± SD. P<0.05 was considered to indicate a statistically significant difference.

Liu W., Cheng L., Li Q, & Jing J. (2020). TRIP6 regulates the proliferation, migration, invasion and apoptosis of osteosarcoma cells by activating the NF-κB signaling pathway. Experimental and Therapeutic Medicine, 19(3), 2317-2325.

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Biomarkers for Sepsis Severity Assessment

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Statistical analysis was performed using the SPSS version 13.0 statistical software package (SPSS Inc., Chicago Illinois, USA). Continuous data were expressed as the mean ± standard deviation when normally distributed. Non-normally distributed variables were expressed as medians and interquartile ranges. Categorical variables were presented as numbers and percentages. Differences in clinical and laboratory findings were assessed using unpaired t-tests, Mann-Whitney U tests and chi-square tests or exact Fisher’s tests, when appropriate. A correlation analysis between PCT, hs-CRP and SOFA score was performed using a nonparametric Spearman’s test. Receiver operating characteristic (ROC) curves and the areas under each respective curve were calculated. The maximum PCT and CRP concentrations, and the white blood cell (WBC) in the first 12 h were used to calculate the ROC curves. Statistical significance was defined as p<0.05.

Zhang H., Wang X., Zhang Q., Xia Y, & Liu D. (2017). Comparison of procalcitonin and high-sensitivity C-reactive protein for the diagnosis of sepsis and septic shock in the oldest old patients. BMC Geriatrics, 17, 173.

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Genetic Risk Assessment Protocol

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Differences in genotype and allele frequencies between patients and controls were tested using a chi-square (χ 2 ) test or two-tailed Fisher's test when the number of expected cases was small. The differences were considered significant at p < 0.05. Genetic risks were assessed by calculating odds ratios (OR) with 95% confidence intervals (95% CI). Bonferroni corrections were used for multiple comparisons. Statistical analysis was performed using the SPSS version 13.0 statistical software package (SPSS Inc, Chicago, IL, USA).

Despotovic M., Stoimenov T.J., Stankovic I., Pavlovic D., Sokolovic D., Cvetkovic T., Kocic G., Basic J., Veljkovic A, & Djordjevic B. (2015). Gene polymorphisms of tumor necrosis factor alpha and antioxidant enzymes in bronchial asthma. Advances in clinical and experimental medicine : official organ Wroclaw Medical University, 24(2).

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