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Spss version 13.0 for windows

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SPSS version 13.0 for Windows is a comprehensive software package designed for statistical analysis. It provides a wide range of tools and features for data management, analysis, and reporting. The core function of SPSS is to enable users to perform advanced statistical procedures and generate meaningful insights from their data.

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Lab products found in correlation

Sas 9, by SAS Institute (20 mentions) Prism v8, by GraphPad (2 mentions) Sybr premix ex taq, by Thermo Fisher Scientific (1 mentions) Axyprep multisource total rna miniprep kit, by Corning (1 mentions) 7500 real time pcr system, by Thermo Fisher Scientific (1 mentions) Primescript rt reagent kit with a gdna eraser, by Takara Bio (1 mentions) Prism 4, by GraphPad (1 mentions) Spss version 13, by IBM (1 mentions) 7300 real time pcr system, by Thermo Fisher Scientific (1 mentions) Sybr premix ex taq 2, by Takara Bio (1 mentions) Prism 7, by GraphPad (1 mentions)

116 protocols using spss version 13.0 for windows

1

Prognostic Value of lncRNA-D16366 in HCC

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Statistical analysis was conducted adopting SPSS version 13.0 for Windows (SPSS, Inc, IL, USA). All data are presented as mean ±SD. Differences between 2 groups were analyzed by t test, while those among 3 groups were assessed via one-way ANOVA. The relationship between lncRNA-D16366 expression and clinicopathological characteristics of patients with HCC was evaluated via chi-square test. Diagnostic value of lncRNA-D16366 was estimated through building ROC curves. Kaplan-Meier and Cox regression analyses were used to estimate the prognostic value of lncRNA-D16366 in HCC. P<0.05 was considered to be statistically significant.
Chao Y, & Zhou D. (2019). lncRNA-D16366 Is a Potential Biomarker for Diagnosis and Prognosis of Hepatocellular Carcinoma. Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, 25, 6581-6586.
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2

Statistical Analysis of Quantitative Variables

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All statistical analysis was performed using SPSS version 13.0 for Windows (SPSS Inc., Chicago, Illinois, USA). Means were calculated for all the variables. Means of quantitative variables were calculated and the difference for means was assessed using Student's t-test. The difference in proportions was calculated using Chi-square test. Correlation analysis was done to account for confounders. The results were considered to be statistically significant if the P < 0.05
Gopal S., Joseph R., Santhosh V.C., Kumar V.V., Joseph S, & Shete A.R. (2015). Prevalence of gingival overgrowth induced by antihypertensive drugs: A hospital-based study. Journal of Indian Society of Periodontology, 19(3), 308-311.
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3

Conditional Logistic Regression Analysis

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Data were stored on a computerised database and analysed using SPSS version 13.0 for Windows (Statistical Package for Scientific Studies for Windows; SPSS Inc., Chicago, IL, USA). The conditional logistic regression analysis method was used, in which PVL was considered as an independent variable, and the other factors were considered as dependent variables. Measurements are presented as the mean ± standard deviation and Wald tests were used in the statistical analysis. P<0.05 was considered to indicate a statistically significant result. Logistic regression analysis was performed using relevant factors.
SHANG Q., MA C.Y., LV N., LV Z.L., YAN Y.B., WU Z.R., LI J.J., DUAN J.L, & ZHU C.L. (2015). Clinical study of cerebral palsy in 408 children with periventricular leukomalacia. Experimental and Therapeutic Medicine, 9(4), 1336-1344.
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4

Prognostic Biomarkers for Tuberculosis Outcomes

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All data were analysed using SPSS, version 13.0 for windows (Statistical Package for the Social Sciences, Chicago, IL, USA). The χ2 test was used to compare categorical variables. The Mann-Whitney U-test and the Kruskal Wallis test were used to compare continuous variables between two or multiple groups, respectively. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR−) and area under the receiver operator characteristic curve (AUC) were used to assess the value of serum biomarkers for the prediction of outcomes of interest.
We used multivariable logistic regression to evaluate the association of baseline and 2-month levels of globulin, CRP and WBC count with outcomes of interest. The following variables were included in the regression model: age >50 years, male sex, requirement for directly observed treatment, alcohol excess, human immunodeficiency virus (HIV) infection, drug resistance, smear positivity, poor adherence, cavitating disease and multilobar CXR changes. A two-tailed P < 0.05 was considered statistically significant.
Singanayagam A., Manalan K., Connell D.W., Chalmers J.D., Sridhar S., Ritchie A.I., Lalvani A., Wickremasinghe M, & Kon O.M. (2016). Evaluation of serum inflammatory biomarkers as predictors of treatment outcome in pulmonary tuberculosis. The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 20(12), 1653-1660.
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5

Cytokine Evaluation in Diverse Cohorts

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Numerical variables are presented as mean ± SE (standard error of mean), while categorical variables are summarized by numbers and percentages.
Serum levels of cytokines were compared using one-way ANOVA followed by Tukey's multiple comparisons test, across the four studied groups. Correlations between BMI and serum levels of the cytokines were evaluated using Spearman' rho correlation of coefficient (rs). Also, comparison of drug usage frequencies across the four studied groups was performed using chi-square test. Association between quantitative variables was assessed using Pearson’s correlation coefficient (r).
For the statistical analysis, the statistical software SPSS version 13.0 for windows (SPSS Inc., Chicago, IL) was used. All p values were 2-tailed, with statistical significance defined by p ≤ 0.05.
Sepehri Z., Masoumi M., Ebrahimi N., Kiani Z., Nasiri A.A., Kohan F., Sheikh Fathollahi M., Kazemi Arababadi M, & Asadikaram G. (2016). Atorvastatin, Losartan and Captopril Lead to Upregulation of TGF-β, and Downregulation of IL-6 in Coronary Artery Disease and Hypertension. PLoS ONE, 11(12), e0168312.
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6

Statistical Analysis of Experimental Data

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Statistical analysis was performed using SPSS, version 13.0 for Windows (SPSS, Inc., Chicago, IL, USA). Data are presented as the mean ± standard deviation. One-way analysis of variance was used to evaluate differences between the groups. P<0.05 was considered to indicate a statistically significant difference.
ZHANG Z., ZHANG H., HU Z., WANG P., WAN J, & LI B. (2014). Synergy of 1,25-dihydroxyvitamin D3 and carboplatin in growth suppression of SKOV-3 cells. Oncology Letters, 8(3), 1348-1354.
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7

Analyzing miRNA Levels: Statistical Approach

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SPSS version 13.0 for Windows (SPSS Inc., Chicago, IL) was used for all statistical analyses. The Mann-Whitney test was applied to assess the difference in miRNAs level between patients and controls. Spearman’s rank correlation analysis was conducted to calculate the correlation coefficient and significance. A probability level less than 0.05 was accepted to indicate a significant difference.
Wang M., Wang L., Zhang X., Yang X., Li X., Xia Q., Chen M., Han R., Liu R., Xu S, & Pan F. (2017). Overexpression of miR-31 in Peripheral Blood Mononuclear Cells (PBMC) from Patients with Ankylosing Spondylitis. Medical Science Monitor : International Medical Journal of Experimental and Clinical Research, 23, 5488-5494.
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8

Statistical Analysis of Experimental Data

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Statistical analysis was performed with SPSS version 13.0 for Windows (Chicago, Illinois, USA). Data were expressed as mean ± standard deviation. A one-way analysis of variance was used to compare among groups. When a significant difference was observed, post-hoc comparisons between two groups were performed. When variance was homogenous, the LSD test was used to compare between two groups. When variance was heterogeneous, the Dunnett’s T3 test was employed to compare between two groups. A value of P < 0.05 was considered statistically significant.
Li Y., Xiong Y., Zhang H., Li J., Wang D., Chen W., Yuan X., Su Q., Li W., Huang H., Bi Z., Liu L, & Wang C. (2017). Ginkgo biloba extract EGb761 attenuates brain death-induced renal injury by inhibiting pro-inflammatory cytokines and the SAPK and JAK-STAT signalings. Scientific Reports, 7, 45192.
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9

Statistical Analysis of Experimental Data

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The numerical data were described by means and standard deviations (SD). The categorical data were expressed as counts and percentages. The numerical data were compared with Student's t-test, paired t-test, or nonparametric test. The chi-square or Fisher's exact test was used to compare the categorical data. Two-sided tests were used, and a P value less than 0.05 was considered to be statistically significant. All data in the present study were analyzed with commercial statistical software (SPSS version 13.0 for Windows, SPSS Inc., Chicago, IL).
Yang T.K., Guo Y.J., Chang H.C., Yang H.J, & Huang K.H. (2015). Attention Deficit-Hyperactivity Disorder Symptoms and Daytime Voiding Symptoms in Children with Primary Enuresis: An Observational Study to Evaluate the Effectiveness of Desmopressin Treatment. The Scientific World Journal, 2015, 356121.
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10

Genetic Associations with Stroke

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SNPs were analysed for associations with stroke by comparing minor allele frequencies as well as the constancy of the Hardy–Weinberg equilibrium in PSD and NPSD patients by using the chi-square test or Fisher’s exact test. The magnitude of association was expressed as OR with a 95% CI. P values <0.05 were considered statistically significant. All analyses were conducted using SPSS version 13.0 for Windows (SPSS Inc., Chicago, IL, USA). Haplotype frequency analyses were performed by SHEsis online software (http://analysis.bio-x.cn/myAnalysis.php). P values <0.05 were considered statistically significant.
Zhou Z., Ding X., Yang Q., Hu J., Shang X., Huang X., Ge L, & Zhou T. (2015). Association between Single-Nucleotide Polymorphisms of the Tyrosine Kinase Receptor B (TrkB) and Post-Stroke Depression in China. PLoS ONE, 10(12), e0144301.
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