Discrete variables are expressed as frequencies and percentages. Continuous variables with normal distribution are expressed as means (standard deviation); variables with no normal distribution are expressed as median (interquartile ranges). Categorical variables are presented in counts (percentages) and were evaluated through the Chi-square test. For continuous variables with normal distribution, the t Student test was performed, and for variables with no normal distribution Wilcoxon-Mann-Whitney test was used. Multivariate logistic regression was performed to determine those factors associated with ICU admission due to COVID-19. To apply this model, variables that had supporting literature, biological plausibility, and a p-value of <0.2 in the bivariate analysis were included in the model. Statistical significance was set at p<0.05. All statistical analysis was carried out in IBM SPSS 27 for MAC.
Spss 27 for mac
Manufactured by IBM
Sourced in United States
SPSS 27 for Mac is a statistical software package for data analysis. It provides tools for data management, statistical modeling, and visualization. The software is designed to work on Apple's macOS operating system.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using spss 27 for mac
1
COVID-19 Infection Factors and ICU Admission
2
Generalizability analysis of psychometric data
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Statistical analyses were performed using IBM SPSS 27 for Mac (IBM, Corp, Armonk, NY) while confirmatory facto analysis was performed using an IBM SPSS Amos 26 (IBM, Corp, Armonk, NY). To calculate generalizability coefficients, we utilized G-String IV software (available at https://healthsci.mcmaster.ca/merit/research/g_string_v ). We used descriptive statistics of mean, standard deviation (SD), frequencies, and percentages to summarize the data.
3
Statistical Analysis of Clinical Outcomes
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Computational and statistical analysis was performed using SPSS 27 for Mac (IBM Corp. Released 2020. IBM SPSS Statistics for Mac 27.0.; 64bit; Armonk, NY, USA). Qualitative and quantitative values are presented as relative and absolute frequencies as well as mean and standard deviation. t‐Test for two independent samples was used to compare means between two independent groups. Values not showing a normal distribution were compared using Mann–Whitney U‐tests for two independent groups. With the help of χ2‐test, Fischer exact test and univariate analysis of a linear model we compared relative frequencies between independent groups. Survival was evaluated by Kaplan–Meier analyses. Cox regression analysis for relapse‐free and overall survival using known risk factors (age, metastasis, tumor volume after preoperative chemotherapy, and histology) together with route to diagnosis were performed. Two‐sided significance was defined as p < 0.05 for all statistical tests. We did not account for the issue of multiple statistical testing due to the explorative nature of the investigation. Thus, we report raw, two‐sided p‐values.
4
Comparing Ventilation Effectiveness Between Training Methods
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We tested for differences in the fraction of correct ventilations (VTe) between sessions (skills- or simulation training) by making cross tabulations. To examine the direction of potential differences, we made box and whisker plots and bar charts. Continuous variables were compared between sessions with Mann-Whitney U non-parametric test. Categorical variables are presented as numbers with percent and continuous variables as median with interquartile range (IQR). P-values are 2-sided and significance level < 0.05. Statistical analyses were performed with IBM SPSS 27 for Mac (IBM Corporation, Armonk, NY, United States).
5
Analyzing Hearing Impairment's Impact on Child Thriving
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First, characteristics of the children with and without hearing impairment were performed by descriptive statistics. Second, frequency tables were produced to examine the distribution of hearing impairment and the three outcome variables stratified by gender. Third, binary logistic regression was used to analyse the statistical association between hearing impairment and the outcome variables on thriving. Odds-ratio (OR) and 95% confidential intervals were calculated. p < 0,05 was considered statistically significant. All analyses were stratified by gender and were performed using SPSS 27 for Mac.
6
Diagnostic Accuracy and Prediction Model
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