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Spss statistics package version 25

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SPSS Statistics is a software package used for statistical analysis. Version 25 offers a range of statistical procedures, data management tools, and visualization capabilities. The core function of SPSS Statistics is to provide a comprehensive platform for data analysis, modeling, and reporting.

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Jmp 14, by SAS Institute (1 mentions) Office excel 2016, by IBM (1 mentions)

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SPSS Statistics package for Windows, Version 25.0 Statistical Package for the Social Sciences (SPSS Statistics) version 25.0 SPSS statistics software package version 25 SPSS Statistics 64-bit version 25 package SPSS Statistics package 25.0 SPSS version 25 package SPSS Statistic 25 SPSS Statistics 25 SPSS Statistics package SPSS package 25.0

19 protocols using spss statistics package version 25

1

Statistical Analyses of Research Outcomes

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Statistical analyses of the results were performed with the IBM SPSS Statistics package, Version 25.0., Armonk, NY, USA: IBM Corp. (Released 2021). Analyses of basic descriptive statistics were performed using the Shapiro–Wilk test and two-way mixed analysis of variance. Differences between dependent variables were analyzed with the use of the appropriate t-test or the Wilcoxon test. Differences between groups were analyzed with the appropriate t-test or the Mann–Whitney U test. Correlations between variables were analyzed using Pearson’s or Spearman’s test. Missing data were deleted pairwise. A p-value of <0.05 was assumed as the level of significance.
Saracyn M., Durma A.D., Bober B., Lubas A., Kołodziej M., Kapusta W., Dmochowska B, & Kamiński G. (2023). Renal Disturbances during and after Radioligand Therapy of Neuroendocrine Tumors—Extended Analysis of Potential Acute and Chronic Complications. International Journal of Molecular Sciences, 24(8), 7508.
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2

Preterm Infant Outcome Predictors

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Values are shown as the mean (standard deviation) unless otherwise specified. Multiple missing value imputations were performed to reduce the attrition biases due to missing data (n = 5 imputations) based on the correlation between variables with missing values and other subject characteristics. The crude effects of antenatal and postnatal variables on outcomes were assessed using univariate logistic regression analysis. The dependence of primary and secondary outcomes on admission temperature was assessed using multivariate logistic regression analysis. Known independent variables of the outcome for preterm infants were used as a priori covariates, including gestational age, sex, antenatal steroid use, 5-min Apgar score, severe IVH, and severe BPD. Statistical analysis was performed using the IBM SPSS Statistics package version 25.0 (IBM, Armonk, New York, USA).
Kato S., Iwata O., Iwata S., Yamada T., Tsuda K., Tanaka T, & Saitoh S. (2022). Admission temperature of very low birth weight infants and outcomes at three years old. Scientific Reports, 12, 11912.
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3

Plasma Klotho Levels and Cardiovascular Risk

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All numerical values were expressed as means ± SD. All statistical tests were two-sided, and a p-value of < 0.05 was considered statistically significant. Differences between means of parameters in groups were tested by the Student’s t-test or the Mann-Whitney U test. The Chi-square test examined intergroup differences of dichotomous variables. The trend among the three groups was assessed using the Jonckheere-Terpstra test. Plasma klotho concentration data were reduced by exclusion of outliers using the 1.5×IQR rule in which data points above the third quantile or below the first quartile are considered outliers. The time-oriented incident rates were analyzed by the Kaplan-Meier method. The Log-rank test examined the differences between the Kaplan-Meier plots. In the multivariate analyses, we tested several models by the stepwise way using combinations of parameters as independent variables for the calculation of both regression coefficients (R-squared) and Akaike’s information criterion (AIC). Among the candidate models, we selected the best-fit model using for each dependent variable. Statistical analyses were performed with JMP 14.0 (SAS Institute Inc., Cary, NC, USA) and SPSS statistics package, version 25.0 (IBM Corporation, Armonk, NY, USA).
Yokoyama S., Oguro R., Yamamoto K., Akasaka H., Ito N., Kawai T., Kusunoki H., Takeya Y., Takeya-Onishi M., Yamamoto-Hanasaki H., Sugimoto K., Ikebe K., Gondo Y., Ohishi M., Kamide K, & Rakugi H. (2018). A klotho gene single nucleotide polymorphism is associated with the onset of stroke and plasma klotho concentration. Aging (Albany NY), 11(1), 104-114.
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4

HIV Research Priority-setting Agenda

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As a final step, we closely collaborated with key funders, researchers, HIV activists and other key stakeholders to promote the use of the research priority-setting agenda. The agenda was presented at several national and international conferences, discussed with key stakeholders in planning meetings and in workshops and both a soft copy and printed booklet have been made available. In addition, collaborations with global partners such as the World Council of Churches, Christian AIDS Bureau for Southern Africa (CABSA) and others will ensure that the agenda is known and used in an international context.
Descriptive data from the questionnaires was analysed using the SPSS statistics package version 25.0 (IBM Corp., Armonk, NY, USA). This study was approved by the University of Cape Town Health Research Ethics Committee (Reference number: 123/2015). Written informed consent was obtained from all participants prior to the interviews, focus groups and questionnaires.
Ndlovu-Teijema M.T., Kok M.O., van Elsland S.L., Smeets H., Barstow D., van Rooyen L, & van Furth A.M. (2021). Setting the global research agenda for community-based HIV service delivery through the faith sector. Health Research Policy and Systems, 19, 81.
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5

Malignancy Risk Factors Analysis

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Data were analyzed with the IBM SPSS Statistics package version 25.0 (IBM Corp., Armonk, NY, USA) and Microsoft Office Suite. Descriptive data are reported as mean±standard deviation. Univariate and multivariate logistic regression analyses were performed to estimate the odds ratios (ORs) of malignancy and their 95% confidence intervals (95% CIs).
Ramundo V., Lamartina L., Falcone R., Ciotti L., Lomonaco C., Biffoni M., Giacomelli L., Maranghi M., Durante C, & Grani G. (2018). Is thyroid nodule location associated with malignancy risk?. Ultrasonography, 38(3), 231-235.
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6

Statistical Analysis of Experimental Data

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A statistical analysis was performed with the IBM SPSS Statistics package, Version 25.0., Armonk, NY, USA: IBM Corp. (Released 2021). It was used to perform the analyses of basic descriptive statistics with the Shapiro–Wilk test, two-way mixed analysis of variance, and the Mann–Whitney U tests. The criterion for the statistical inference was set at a level of significance of p < 0.05.
Bober B., Saracyn M., Zaręba K., Lubas A., Mazurkiewicz P., Wilińska E, & Kamiński G. (2022). Early Complications of Radioisotope Therapy with Lutetium-177 and Yttrium-90 in Patients with Neuroendocrine Neoplasms—A Preliminary Study. Journal of Clinical Medicine, 11(4), 919.
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7

Ultrasound Criteria for Evaluating Extrathyroidal Extension

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Statistical analysis was performed using the IBM SPSS Statistics package, version 25.0 (IBM Corp., Armonk, NY, US). Descriptive data are reported as median and range or median and interquartile range (IQR), as appropriate. The diagnostic accuracy of ultrasound ETE assessment was evaluated against the surgical pathology report (reference standard diagnosis). The three US criteria for ETE (nonrestrictive, restrictive, very restrictive) were each tested for their ability to predict (or exclude) a pathological diagnosis of ETE, as described above. Parameters considered were sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic odds ratio (DOR).
Ramundo V., Di Gioia C.R.T., Falcone R., Lamartina L., Biffoni M., Giacomelli L., Filetti S., Durante C, & Grani G. (2020). Diagnostic Performance of Neck Ultrasonography in the Preoperative Evaluation for Extrathyroidal Extension of Suspicious Thyroid Nodules. World journal of surgery, 44(8).
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8

Nephrolithiasis During SARS-CoV-2 Pandemic

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The data of patients hospitalized due to nephrolithiasis in the Urology Department of the Military Institute of Medicine—National Research Institute in the years 2020–2022 were retrospectively analyzed. It should be mentioned that the Department is the highest reference center in the country, and the years 2020–2021 are considered the peak of the SARS-CoV-2 pandemic, which resulted in a partial limitation of access to medical services (diagnostic and therapeutic procedures). Laboratory tests were performed in the Department of Medical Diagnostics Military Institute of Medicine—National Research Institute. Statistical analysis was performed using the IBM SPSS Statistics package, Version 25.0., Armonk, NY, USA: IBM Corp. (2021), using a 2-sample t-test with unequal variances and one-tailed hypothesis assumption. The level of significance was assumed at p-value < 0.05.
Ząbkowski T., Durma A.D., Grabińska A., Michalczyk Ł, & Saracyn M. (2023). Analysis of Nephrolithiasis Treatment in Highest Reference Hospital—Occurrence of Acromegaly in the Study Group. Journal of Clinical Medicine, 12(12), 3879.
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9

Relationship Between IAP, Fitness, and Physiology

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Demographic data were used to describe the sample population. Pearson correlation coefficients were calculated to determine relationships of IAP across all three stages of the treadmill protocol with heart rate and RPE. Previous literature has demonstrated a relationship between BMI and standing IAP (20 (link), 32 (link)). Therefore, a Pearson correlation was conducted between BMI and IAP at the 3rd stage of the treadmill protocol to determine whether a partial correlation should be used to control for BMI in the correlations of IAP with heart rate and RPE. A scatterplot was used to visualize the relationship between IAP and predicted aerobic fitness during the first three stages of the Bruce protocol. Due to limited sample size, we were not able to statistically examine the difference in IAP between predicted VO2max tertiles or between body fat mass and VO2max tertiles. The tertiles by VO2max values were used to visually display IAP trajectory during incremental aerobic exercise. A Pearson correlation was also calculated between predicted VO2max and percent fat mass to confirm that our predicted values are reasonable. All statistical analyses were conducted using IBM SPSS Statistics Package Version 25.0 (Armonk, NY, USA) and statistical significance was set at alpha level of 0.05.
Wolpern A.E., de Gennaro J.D., Brusseau T.A., Byun W., Egger M.J., Hitchcock R.W., Nygaard I.E., Sheng X, & Shaw J.M. (2020). Relationship of heart rate, perceived exertion, and intra-abdominal pressure in women. Journal of clinical exercise physiology, 9(3), 97-103.
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10

Comprehensive Immune Profiling of Tumor Samples

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One-way analysis of variance followed by a Tukey’s post hoc test were performed to determine the significance of the flow cytometry results. Associations between the H-score of PD-L1 and the expression of p-STAT1 and HLA class I, as well as between the number of PD-L1-positive TIICs and p-STAT1 expression in TIICs, were also assessed using the Student’s t-test. Associations between p-STAT1 and HLA class I expression levels were assessed using the Chi-square test. Associations between the H-score of PD-L1 and the number of CD8-positive cells, between PD-L1 mRNA expression z-scores and the IFN-γ signature, and between PD-L1 mRNA expression z-scores and the CD8 T effector gene signature were assessed using a scatter diagram and Pearson’s product moment correlation coefficient. Analyses were performed using SPSS Statistics Package version 25 (IBM Corp., Armonk, NY, USA) and a value of P<0.05 was considered to indicate a statistically significant difference.
Nakayama Y., Mimura K., Tamaki T., Shiraishi K., Kua L.F., Koh V., Ohmori M., Kimura A., Inoue S., Okayama H., Suzuki Y., Nakazawa T., Ichikawa D, & Kono K. (2019). Phospho-STAT1 expression as a potential biomarker for anti-PD-1/anti-PD-L1 immunotherapy for breast cancer. International Journal of Oncology, 54(6), 2030-2038.
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