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Spss 23.0 statistical software package

Manufactured by IBM
Sourced in United States

SPSS 23.0 is a statistical software package developed by IBM. It provides a range of data analysis and statistical modeling tools to help users gain insights from their data. The software offers features for data management, analysis, and presentation, catering to various research and business needs.

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8 protocols using spss 23.0 statistical software package

1

Evaluating G6PD Deficiency Prevalence

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Before statistical analysis was performed, the distribution status of data was evaluated to choose an optimal statistical method. Variables such as age, detection rate were described by descriptive statistics. A chi-square test was used for comparison of frequencies of G6PD deficiency between males and females. The Mann–Whitney U-test was used for non-parametric comparisons. A p-value < 0.05 was considered statistically significant. Statistical analysis was conducted with the SPSS 23.0 Statistical Software package.
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2

Statistical Analysis of Research Data

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The statistical analysis of the data was conducted using the SPSS 23.0 statistical software package (SPSS, Chicago, IL). The measurement data are expressed as the mean ± standard error of the mean (SEM). A 1-way analysis of variance was used to compare means between multiple groups, and statistically significant differences are represented by *P<0.05, **P<0.01, &P<0.05, &&P<0.01, #P<0.05, ##P<0.01.
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3

Differentiation of Benign and Malignant Lesions

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Continuous variables were firstly checked for normality using the Kolmogorov-Smirnov test, and the Student’s t-test or Mann-Whitney U test were used to compare the CIRs and ADCs between the MR images before and after contrast agent injection. In addition, the Student’s t-test or Mann-Whitney U test were also used to compare the ADC values between benign and malignant lesions. Receiver operating characteristics (ROC) curves were drawn to assess the area under the curve (AUC) of the ADC values to differentiate between benign and malignant lesions, as well as their 95% confidence interval (CI). The diagnostic sensitivity and specificity were also calculated. A P value less than 0.05 was considered to be statistical significance. All statistical analyses were performed by using the SPSS 23.0 statistical software package (SPSS Inc., Chicago, IL, USA).
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4

Factors Influencing Patient Portal Adoption

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We present proportions and means for socio-demographic characteristics and technology use and perceptions. To assess differences between the adopter and non-adopter groups, we conducted chi-square tests of association for categorical variables and t-tests for continuous variables. For items capturing perceptions of technology adoption, we assessed Cronbach's alpha and created scales for each set of items. We used factor analysis to identify the factor structure of the items pertaining to perceived attributes of DOI theory. Given the exploratory nature of our study, our factor analysis was also exploratory and consisted of principal components analysis with varimax rotation and extraction based on eigenvalues greater than 1 and confirmed by examination of the scree plot. We reviewed the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett's test of sphericity to ensure an appropriateness of factor analysis for the data. 20 Based on the results of the factor analysis, we created scales for the different factors using an average of the original data for the items comprising each scale. We employed the logistic regression analysis using a forced entry method to assess predictors of adoption of the patient portal and likelihood of using the portal. All analyses were conducted using the SPSS 23.0 statistical software package.
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5

Statistical Analysis of Experimental Replicates

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The mean and standard errors of the three replicates were calculated and the statistical significance evaluated using the SPSS-23.0 statistical software package (SPSS, Inc.) with the one-way analysis of variance (ANOVA). A significance level of 0.05 was used in all treatment comparisons and applied using the least significant difference (LSD).
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6

SOX11 Promoter Methylation Analysis

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Descriptive statistics were calculated with Microsoft Office Excel 2007 (Microsoft, USA). Further statistical analysis was performed with spss 23.0 statistical software package (SPSS, USA). Student's t-test and Mann-Whitney U-test were used to compare continuous variables. A correlation between SOX11 promoter methylation and clinicopathological parameters was evaluated by Fisher's exact test. A P-value of <0.05 was considered statistically significant for all tests.
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7

Predicting Axillary Lymph Node Metastasis

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Clinicopathologic characteristics were compared between patients with and without ALNM using the independent sample t test for the continuous variables and chi-square test for the categorical variables. Receiver operating characteristic (ROC) curve was performed to determine the optimal cut-off values of SUVmax, SUVmean, MTV, and TLG. ROC curve analysis was also used to evaluate the performance of MTV for the prediction of ALNM.
Multivariate logistic regression analysis was performed to determine the independent variables associated with ALNM by including all of the significant factors (P < .05) from univariate analysis.
All analyses were performed using the SPSS 23.0 statistical software package (IBM, Armonk, NY) and MedCalc (MedCalc, Mariakerke, Belgium) software with a value of P < .05 considered to be significant.
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8

Apoptosis Induction in Renal Cancer Cells

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The apoptosis rate of 786-O and ACHN cells was determined via flow cytometry assays. Cells were added to a 6-well plate (3x10 5 cells/well) and subsequently transfected with-miR-181a-5p mimics or NC. Cells were collected 48 h post-transfection and washed with cold PBS (4˚C). Subsequently, the cells were resuspended in 100 µl 1X binding buffer, and 5 µl Annexin V-fluorescein isothiocyanate (Invitrogen; Thermo Fisher Scientific, Inc.) and 5 µl propidium iodide (Invitrogen; Thermo Fisher Scientific, Inc.) was added to each cell suspension. Cells were subsequently incubated at room temperature for 15 min in the dark, and 400 µl binding buffer was added to each tube. The apoptosis rate was determined using flow cytometry (EPICS, Xl-4; Beckman Coulter, Inc., Brea, CA, USA) and was analyzed with FlowJo software (version 10; Flow Jo LLC, Ashland, OR, USA).
Statistical analysis. Data are presented as mean ± standard error of the mean. All assays were repeated at least three times. Significance of differential expression was analyzed using one way analysis of variance followed by Tukey's post-hoc test. The SPSS 23.0 statistical software package (IBM Corp., Armonk, NY, USA) was used to perform statistical analysis. P<0.05 was considered to indicate a statistically significant difference.
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