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Spss statistics software for mac

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SPSS Statistics software for Mac is a comprehensive statistical analysis tool. It provides a wide range of data manipulation, analysis, and visualization capabilities. The software is designed to help users efficiently analyze and interpret data.

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10 protocols using spss statistics software for mac

1

Statistical Analysis of Applicant Data

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Quantitative analyses were conducted using SPSS Statistics software for Mac (version 25.0). Kruskal-Wallis tests were performed for continuous outcomes and Chi-square tests for categorical outcomes. If the initial test statistic showed a significant difference between groups, post-hoc analyses were then performed with a Bonferroni correction to adjust for multiple comparisons. As such, a p value < 0.005 was used to indicate statistical significance for post-hoc analyses. To protect confidentiality, groups of smaller that five applicants are reported as “<5.”
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2

Diagnostic Performance of RV Strain in T2DM

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Statistical analyses were performed using SPSS statistics software for MAC (version 24.0; SPSS Institute, Inc.). Normality was assessed using Kolmogorov–Smirnov test. Normally distributed data are presented as mean ± standard deviation for continuous variables and as frequencies (percentage) for categorical values. Non-parametric variables are expressed as median (interquartile range, 25–75%). One-way ANOVA or the Kruskal-Wallis test was used to assess the differences in continuous variables among the three groups. The chi-square or Fisher exact test was performed for categorical values. Spearman’s and Pearson’s correlation coefficients were used for nonparametric and normally distributed data, respectively. Binary logistic regression was used to identify predictors of RV dysfunction. Receiver operating characteristic analysis was performed to determine optimal cut-off values for RV strain parameters to identify RV dysfunction in T2DM patients. The Bland–Altman analysis was used to assess the inter- and intra-observer variabilities between acquisitions by calculating the bias (mean difference) and the 95% limits of agreement (1.96 standard deviations around the difference). Two-tailed p values of <0.05 were considered statistically significant.
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3

Anticoagulation Management Protocol Comparison

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Data were analyzed using SPSS Statistics Software for Mac. Descriptive statistics were utilized for baseline demographics, clinic visit information, and emergency department referrals. Proportion of INRs ≥ 4.5 were assessed utilizing the chi-square statistic. The Wilcoxon signed-rank test for non-parametric, continuous data was used to analyze the difference in TTR, percent of therapeutic INRs, and number of visits between the two groups. P-values of < 0.05 were considered statistically significant.
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4

Burden of Disease Analysis in Ecuador

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We performed descriptive statistics based on demographic variables to obtain absolute and relative variations. We also constructed measurements for disease occurrence, including in-hospital mortality (%), incidence, and countrywide mortality rates. For the burden of disease analysis, the “lillies” package of the R was used to estimate YLL for patients with a given condition (20 (link)), the calculation methodology was based on the number of cases in a population with the diagnosis of a specific disease or condition, using the age of diagnosis of the disease for the cases studied, the Ecuadorian population, and the annual projection for each year based on the life expectancy of the population studied for Ecuador (21 (link)).
The analysis of the data was performed using the SPSS statistics software for Mac (IBM Corp. 2014, version 24.0. Armonk, NY, USA) and R version 3.6.2. Figures and graphs were performed in Prism 8 GraphPad Software version 8.2.0 (2365 Northside Dr. Suite San Diego, CA 92108). The basic cartography maps were generated using QGIS Development Team 180 2.8 (Creative Commons Attribution-ShareAlike 3.0 license CC BY-SA).
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5

Evaluating Factorial Differences with ANOVA

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As the data were distributed homogeneously according to the results of the Levene statistic test of homogeneity of variances, a two-way repeated measures ANOVA was used to evaluate the FDs. Gabriel’s post hoc test was used for the paired comparison of differences between groups. The differences within groups were evaluated using a paired sample t-test. The significance level was set to P≤0.05. Statistical analysis was performed using IBM SPSS Statistics software for Mac (ver. 25.0; IBM, Armonk, NY, USA).
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6

Outcomes Analysis of Solitary Fibrous Tumors

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Data were summarized using descriptive statistics. Where appropriate, median, range, mean, and standard deviation (sd) were calculated. The primary endpoints of interest were local recurrence at the original treatment site, metastasis at any CNS site, development of extraneural metastasis, PFS and OS. For local recurrence, CNS metastasis, and extraneural metastasis, both loss-to-follow-up and death without recurrence/metastasis were censored in survival analyses. These outcomes were analyzed using Kaplan–Meier analyses with the log-rank test to assess for statistical significance and by univariable Cox proportional hazards models. For all outcomes, the timespan encompassed in the analyses began with the time of initial diagnosis of SFT/HPC. Because of the inclusion of patients receiving both GTR and subtotal resection, PFS is considered synonymous with RFS.
All statistical comparisons were performed using either SPSS statistics software for Mac, Version 27 (IBM) or Stata version 15.1 (StataCorp, College Station, Texas, USA). A p-value ≤0.05 was defined as the threshold for statistical significance.
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7

Bovine Tuberculosis Risk Factors

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Data obtained from field and laboratory was coded and analyzed using MS Excel 2016 and IBM SPSS Statistics software for Mac (Version 24) and expressed as frequencies and percentages, unless otherwise stated. Distribution of infection in different groups was compared by Chi-square or Fisher Exact Test. Robust univariate and multivariate logistic regression was used to evaluate the associations between infection, age, breed and sex of the animals in this study to demystify risk factor(s) for bovine TB. During multivariate regression analysis, adjustments were made for likely confounding factors (age and sex). Odds ratios (OR) with 95% confidence intervals (CI) were calculated to estimate the association between groups of interest to identify risk factors for infection. A p value < 0.05 was considered to have statistical significance.
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8

Telephone-based Surveillance of Post-PDT Complications

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The ENT physician (CM) contacted the patients (or their guardians) via telephone and interviewed them using the structured questionnaire (Additional file 1). This questionnaire contained the following items: 1) if the patient was deceased (with any association with PDT); 2) if the tracheal incision was closed; 3) if tracheal incision required subsequent neck surgery or any other therapy regarding PDT problems was necessary; and 4) if the following symptoms occurred after PDT: i) dyspnea; ii) stridor; iii) dysphagia; iv) hoarseness; v) bleeding from tracheostoma; vi) local inflammation; and vii) difficulties with tracheostomy tube exchange.
Patients (or their guardians) who reported the pathologic symptoms specific for tracheal stenosis during the interview and who were able to be transported were invited for outpatient clinical examination. This examination was performed by an ENT physician and included flexible translaryngeal tracheoscopy to clarify the origin of the symptoms. The descriptive data were managed using IBM SPSS Statistics Software for Mac (Version 19.0.0, IBM Corp., New York, USA) and are presented as the mean (standard deviation) and number (percent) unless otherwise stated.
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9

Anxiety-Reducing Techniques in Crossover Study

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The sample size was calculated based on a prospective pilot study [12 (link)] by determining the two-sided level of significance at 0.015 (three-period crossover investigation) and power at 85% for a paired sample t-test. Expecting to find a 25% difference in anxiety level between the different study conditions and using the mean and standard deviation values measured in the pilot investigation using STAI State-anxiety, the number of participants needed was calculated to be 43. Taking into account potential drop-out/withdrawal cases, the sample size was inflated to a total of 46 volunteers.
Baseline characteristics as well as the differences between the study conditions at different time points were analyzed using paired sample t-tests, Holm-Bonferroni adjusted for multiple comparisons. Fisher’s exact test was used to analyze the success of volunteer blinding. Data analysis was performed using IBM SPSS Statistics Software for Mac (Version 19.0.0, IBM Corp., New York, USA). All data are presented as mean (standard deviation) unless otherwise stated, two-sided Holm-Bonferroni-adjusted P-values < 0.05 were regarded as significant.
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10

Skin Lesion Data Analysis Protocol

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For the collection of data, Microsoft Office Excel for Mac 2011 was used. The statistical analysis was performed using IBM SPSS Statistics software for Mac (SPSS 21.0; IBM Corp., Armonk, NY, USA). All the data of each group underwent normality tests (like Kolmogorov-Smirnov Test or modified by Lilliefors) to look for normal distribution. With a normal distribution, paired sample t-tests were used for intraindividual comparisons of BCCs/AKs and
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