Spss statistic for windows

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SPSS Statistic for Windows is a comprehensive software package designed for statistical analysis. It provides a wide range of data management, analysis, and visualization tools to help users understand and interpret data. The core function of SPSS Statistic is to enable users to perform various statistical tests, create graphical representations of data, and generate reports.

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Prism 5, by GraphPad (1 mentions) Spss statistics for windows version 15, by IBM (1 mentions) Spss software package, by IBM (1 mentions) Statistical software version 19, by MedCalc (1 mentions) Spss 21, by IBM (1 mentions) Collagen 1, by BD (1 mentions)

28 protocols using spss statistic for windows

Estimating Sample Size for Frozen Shoulder Study

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To determine the number of patients required for our study, we employed a sample size estimation test used in the previous prevalence studies.²², ²³ On the basis of the literature, we expected to find postoperative frozen‐shoulder cases in 15% of patients.⁴, ⁵ Consequently, for the expected prevalence of 15%, the required sample size was 29 for the margin of error or absolute precision of ±13% in estimating the prevalence with 95% confidence. With this sample size, the anticipated 95% CI was (2%, 28%).
Analysis of differences in the expression of protein markers in fibroblasts isolated from NS and ST patients was performed using two‐sided one‐way ANOVA (IBM SPSS Statistic for Windows, version 27, IBM Corp.). The significance of differences between the kinetics of procollagen secretion, represented by the slopes of the fitted curves, was analyzed using GraphPad Prism, version 6.07 (GraphPad Software Inc.).
To evaluate differences in the collagen disc contractures, we applied repeated measures ANOVA, with a Greenhouse‐Geisser correction, to evaluate the discs' surface changes across various time points (IBM SPSS Statistic for Windows, version 27, IBM Corp.).
Our statistical analyses' results were presented in the form of graphs, tables, and descriptive statistics. In all assays, statistical significance was defined as p ≤ 0.05.

Hendy B.A., Fertala J., Nicholson T., Abboud J.A., Namdari S, & Fertala A. (2023). Profibrotic behavior of fibroblasts derived from patients that develop posttraumatic shoulder stiffness. Health Science Reports, 6(2), e1100.

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Allogeneic Hematopoietic Stem Cell Transplant Outcomes

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Overall survival (OS) following transplant was calculated as the time from alloHSCT to death from any cause or last follow-up in survivors. Progression free survival (PFS) was defined as the time from alloHSCT until progression to molecular or hematologic relapse or death with those censored at last contact who were alive and had not experienced molecular or hematologic relapse until then. Cumulative incidence of relapse (CIR) and non-relapse mortality (NRM) were calculated using cumulative incidence (CI) estimates and considered as competing risks. All time-to-event curves were estimated using the Kaplan–Meier method and log-rank test for univariate comparisons. For all analyses, a P value < 0.05 was considered to be statistically significant. Statistical analyses were performed using GraphPad Prism^® 5.01 (GraphPad Software Inc., La Jolla, USA) and SPSS Statistic for Windows (SPSS Inc. Chicago, IL) and further details are given in the respective figure legend.

Jäger P., Rautenberg C., Kaivers J., Kasprzak A., Geyh S., Baermann B.N., Haas R., Germing U., Schroeder T, & Kobbe G. (2023). Allogeneic hematopoietic stem cell transplantation and pre-transplant strategies in patients with NPM1-mutated acute myeloid leukemia: a single center experience. Scientific Reports, 13, 10774.

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Demographic and Statistical Analysis

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The data were analysed using SPSS Statistic for Windows (version 23.0), in accordance with the study’s aim and the characteristics of the variables. The significance level was set at P < 0.05. The descriptive analyses were conducted to indicate the distributions of the demographic and inferential analyses like chi-squared test were used. All information was presented in tables.

Hussein S.Z., Mardia N., Amirah M., Hashim R, & Abu Bakar S.H. (2022). Knowledge and Practice of Parents Towards Measles, Mumps and Rubella Vaccination. The Malaysian Journal of Medical Sciences : MJMS, 29(3), 90-98.

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Survival Analysis of Myelodysplastic Syndromes

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OS was calculated as time from diagnosis to death from any cause or last follow-up in survivors. PFS was defined as time from diagnosis until (1) progression to a higher IPSS-R risk category, or (2) a higher subgroup according to WHO 2016, e.g., from non-blastic to blastic subgroup, (3) AML transformation or (4) death with those censored at last contact who were alive and had not progressed so far. All patients who underwent allo-SCT were censored at the time of allo-SCT. OS, PFS and LFS were estimated using Kaplan-Meier method using the log-rank test for univariate comparisons. For categorical variables frequencies were displayed and differences were estimated using cross tabulation and Fisher’s exact t-test as well as one-way ANOVA test, while for continuous variables medians (ranges) are given with the Mann-Whitney test employed to detect differences. Multivariate analysis was performed using the proportional hazard regression analysis (multiple Cox regression model). In all analyses, a p-value < 0.05 was considered to be statistically significant. Statistical analyses were performed using GraphPad Prism® 5.01 (GraphPad Software Inc., La Jolla, USA) and SPSS Statistic for Windows (SPSS Inc. Chicago, IL).

Rautenberg C., Germing U., Pechtel S., Lamers M., Fischermanns C., Jäger P., Geyh S., Haas R., Kobbe G, & Schroeder T. (2019). Prognostic impact of peripheral blood WT1-mRNA expression in patients with MDS. Blood Cancer Journal, 9(11), 86.

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Reaction Time and Emotional Targets

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For all reaction time (RT) analyses, only correct trials were included. Trials with response latencies below 200 ms and above 1200 ms were excluded from the analysis. The RT-trimming procedure eliminated 8.8% and 7.1% of trials with targets with a positive valence, and 8.71% and 6.47% of trials with targets with a negative valence for the moderate- and high-intensity exercise groups, respectively. After data trimming, all distributions of response latencies showed acceptable levels of normality, homoscedasticity, and independence. There were no negative associations between error rates and RTs in any experimental condition, thus ruling out the possibility of a speed–accuracy trade-off. Error rates were analyzed using Mann–Whitney U and Wilcoxon signed-rank tests. A significance level of p < 0.05 was adopted for all statistical contrasts. All the data analyses were conducted with SPSS Statistic for Windows, version 28.0, Armonk, NY, USA, IBM Coorporation.

Perez-Rojo C., Rieker J.A, & Ballesteros S. (2022). The Effect of Exercise Intensity on Affective and Repetition Priming in Middle-Aged Adults. International Journal of Environmental Research and Public Health, 19(16), 9873.

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Pearson's Correlation Analysis of Parameters

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To evaluate relationships between different parameters, Pearson’s correlation analysis (together with 95% confidence intervals1 (link)) was applied using IBM SPSS Statistic for Windows (Version 22.0, IBM Corp., Armonk, NY, USA).

Hirvasniemi J., Thevenot J., Kokkonen H.T., Finnilä M.A., Venäläinen M.S., Jämsä T., Korhonen R.K., Töyräs J, & Saarakkala S. (2015). Correlation of Subchondral Bone Density and Structure from Plain Radiographs with Micro Computed Tomography Ex Vivo. Annals of Biomedical Engineering, 44, 1698-1709.

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Predictors of Persistent Dyspnea in COVID-19 Survivors

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Descriptive statistics were performed for all the study variables. Continuous variables were expressed as a mean ± standard deviation (SD) or median [interquartile (IQR)] for skewed variables. Categorical variables were expressed as percentages. The normality of the data was tested using Kolmogorov-Smirnov test. Comparison of the continuous variables was performed using Student’s t-test or Mann-Whitney U-test and of binominal variables using chi-square or Fisher’s exact test, respectively. Univariable and multivariable logistic regression models with backward selection were used to evaluate the potential predictors of persistent dyspnea in COVID-19-recovered patients. The variables included in the statistical model were tested for collinearity using linear regression analysis with a variance inflation factor (VIF) between 1 and 10.
The data were analyzed using IBM SPSS Statistic for Windows, Version 26.0 (IBM Corp., Armonk, NY, USA). A p < 0.05 was considered significant.

Luchian M.L., Motoc A., Lochy S., Magne J., Belsack D., De Mey J., Roosens B., Van den Bussche K., Boeckstaens S., Chameleva H., Geers J., Houard L., De Potter T., Allard S., Weytjens C., Droogmans S, & Cosyns B. (2021). Subclinical Myocardial Dysfunction in Patients with Persistent Dyspnea One Year after COVID-19. Diagnostics, 12(1), 57.

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Statistical Analysis of Biological Activity

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The data were expressed as the mean ± standard deviation of three replicates. The statistical study was carried out using SPSS Statistic for Windows, SPSS Statistics for Windows, version 15.0 (IBM, Chicago, IL, USA). The differences between the two variables were determined using Student’s t-test for quantitative estimates. For biological activity data, a one-way ANOVA test (LSD) was used.

Gheraissa N., Chemsa A.E., Cherrada N., Erol E., Elsharkawy E.R., Ghemam-Amara D., Zeghoud S., Rebiai A., Messaoudi M., Sawicka B., Atanassova M, & Abdel-Kader M.S. (2023). Biochemical Profile and In Vitro Therapeutic Properties of Two Euhalophytes, Halocnemum strobilaceum Pall. and Suaeda fruticosa (L.) Forske., Grown in the Sabkha Ecosystem in the Algerian Sahara. Molecules, 28(8), 3580.

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Randomized Dexamethasone vs. Placebo

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After the initial screening, all the patients were randomized into two groups (the dexamethasone group vs. the placebo group) with an allocation ratio of 1:1. The random number generated via SPSS (IBM SPSS Statistic for Windows, Version 25.0. Armonk, NY: IBM Corp) by a clinical research coordinator who was not involved in the study, and the results were concealed from the researchers. The assignment list was sealed in opaque envelopes, and they were opened to determine dexamethasone or placebo by the researchers after obtaining informed consent.

Huang J.W., Yang Y.F., Gao X.S, & Xu Z.H. (2023). A single preoperative low-dose dexamethasone may reduce the incidence and severity of postoperative delirium in the geriatric intertrochanteric fracture patients with internal fixation surgery: an exploratory analysis of a randomized, placebo-controlled trial. Journal of Orthopaedic Surgery and Research, 18, 441.

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Comparative Statistical Analysis of Groups

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Statistical analysis was performed using the SPSS statistical program (IBM Corp., IBM SPSS Statistic for Windows, Version 26.0, Armok, NY, USA). Student’s t-test and the Mann–Whitney test were used to compare groups. The p-value for the two-sided test is reported.

Moe S.E., Erland F.A., Fromreide S., Lybak S., Brydoy M., Dongre H.N., Dhayalan S.M., Costea D.E., Vintermyr O.K, & Aarstad H.J. (2023). The TP53 Codon 72 Arginine Polymorphism Is Found with Increased TP53 Somatic Mutations in HPV(−) and in an Increased Percentage among HPV(+) Norwegian HNSCC Patients. Biomedicines, 11(7), 1838.

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