Data were analyzed with SAS statistical software version 9.3 (SAS Institute Inc, Cary, NC) and SPSS statistics for Macintosh, version 23 (IBM Corp, Armonk, NY). Demographic and clinical data were compared by Student’s t-test and chi-square or Fisher’s exact test for continuous and categorical variables respectively. Immunostaining intensities between Uw/N and Ow/Ob patients were compared with Student’s t-tests. Relationships between RLNH1 and RLNH2, RXFP1, IGF2, VEGFA, with fetal and placental growth and fetal sex were compared for all samples and stratified by BMI group using linear regression models. P values of < 0.05 were considered statistically significant.
Spss statistics for macintosh version 23
Manufactured by IBM
Sourced in United States
SPSS Statistics for Macintosh, Version 23.0 is a data analysis software that provides statistical analysis capabilities. It is designed to run on the Macintosh operating system.
Automatically generated - may contain errors
Lab products found in correlation
Prism 7, by GraphPad (2 mentions)
Sas statistical software version 9, by SAS Institute (1 mentions)
R version 3, by R Project for Statistical Computing (1 mentions)
Statistical package for the social science, by IBM (1 mentions)
Stata version 14, by StataCorp (1 mentions)
Matlab, by MathWorks (1 mentions)
Microsoft excel 2010, by IBM (1 mentions)
28 protocols using spss statistics for macintosh version 23
1
Fetal Growth Factors and Maternal Obesity
2
Statistical Analysis Methodology
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Continuous variables were tested using the Shapiro-Wilk Normality Test. Where non-parametric distributions were identified, variables were tested using either the Mann Whitney U-test or Kruskal Wallis test depending upon the number of covariates under assessment. Otherwise, the Student's T-test or standard ANOVA were used. Categorical variables were similarly assessed using Chi2 test or Fisher's exact test. Correlations between continuous variables were equally assumed to be non-parametric and tested using Spearman's Rank Correlation Test. All p-values are 2-tailed, with 95% cut-off being the declared level of significance. Statistical analysis was performed using IBM SPSS Statistics for Macintosh, Version 23 (IBM Corp. Armonk, USA) and Prism 7 (GraphPad Software, La Jolla, USA).
3
Prognostic Factors for Reinfarction
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Continuous variables were assumed non-parametric and tested using either the Mann–Whitney U test or Kruskal–Wallis test. Categorical variables were assessed using chi-square test or Fisher’s exact test. Correction for age and gender between groups was performed using Propensity Score matching, employing logistic regression with nearest neighbor matching and a 0.2 caliper. Prognostic relevance regarding reinfarction was calculated in conditional logistic regression. All p-values are two-tailed, with 95% cutoff being the declared level of significance. Statistical analysis was performed using IBM SPSS Statistics for Macintosh, Version 23 (IBM Corp. Armonk, USA), Prism 7 (GraphPad Software, La Jolla, CA, USA), and R Version 3.2.3 (R Foundation for Statistical Computing, Vienna, Austria).
4
Analysis of Dichotomous and Continuous Variables
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Dichotomous variables were analysed using Pearson’s χ2 and continuous variables with the Mann–Whitney U-test since they did not meet the criterion of normal distribution. Non-normally distributed data are presented as median and interquartile range (IQR). Mortality risk is expressed as hazard ratio (HR) and analysed in a Cox-regression model. The IBM SPSS Statistics for Macintosh, version 23 (IBM Corp., Armonk, N.Y., USA) was used for all analyses and P-values < 0.05 were considered significant.
5
Statistical Analysis Methodology for Research
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Statistical analyses were performed using IBM SPSS Statistics for Macintosh, version 23. The Mann-Whitney U test was used to analyze continuous variables. The Chi-square or Fischer’s exact test were used for categorical variables depending on group size. P-values ≤0.05 were considered statistically significant.
6
Antimicrobial Resistance Analysis
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The data was analyzed using Microsoft Office Excel software programs, and IBM SPSS Statistics for Macintosh, Version 23 (IBM Corp., Armonk, N.Y., USA), for descriptive statistics such as mean, sum and percent distribution. The difference between variables such as age groups, and sex of subjects was computed by using a Chi Square statistic. Significance was considered at a P-value of less than 0.05. The percentage of resistance was calculated by dividing the number of resistant isolates tested for a drug or a combination of drugs to the total number of patients tested. Temporal trends were evaluated regarding resistance to each drug alone or in combination with other drugs, as well as trends in multi-drug resistance.
7
Physiological and Metabolic Correlations
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Results are presented as mean ± standard deviation (SD). The results of the IPAQ are shown as median and quartiles (25% and 75%, respectively). Pearson’s correlation coefficients were used to detect the relationships between metabolic and physiological parameters. Partial correlation coefficients were also obtained to examine the associations between age and sex as the controlling variables. TEE adjustment was performed using residuals from the regression model with body mass. An alpha of 0.05 denoted significant statistical deviation. All analyses were performed using IBM SPSS Statistics for Macintosh, version 23.0 (IBM Corp., Armonk, NY, USA).
8
Postoperative Myasthenia Gravis Progression Analysis
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The Statistical Package for the Social Sciences (IBM Corp. Released 2015. IBM SPSS Statistics for Macintosh, Version 23.0, Armonk, NY, USA: IBM Corp.) was used. Data were summarized using descriptive statistics, with means and standard deviations for continuous variables. The categorical variables are described in frequencies and percentages. The patients were then divided into 2 groups according to their postoperative MG progression. Comparison between the 2 groups was made by using independent samples t-test, with the level of the significant set at P ≤ 0.05.
This study registered in PROSPERO (ID: CRD42020173229).
This study registered in PROSPERO (ID: CRD42020173229).
9
Adherence Factors and Strategies Evaluation
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Statistical analysis was performed using IBM SPSS Statistics for Macintosh, Version 23.0. (IBM Corp., Armonk, NY, USA). Statistical tests of association were done by comparing patients who had moderate or low level of adherence, as measured by MMAS-4, with those who had high adherence. The independent variables were also transformed into binary variables for the analysis. Respondents’ answers to the open-ended questions were analyzed based on the preset list of prompts. Responses that were different from this list were coded and analyzed as unique categories of preferred adherence-enhancing strategies and reasons for nonadherence. Univariate analysis (Pearson Chi-square and Fisher's exact test) was performed to evaluate the effect of sociodemographic and disease- and therapy-related variables on adherence. Factors found to be statistically significant in the univariate analysis were included in the multivariate logistic regression model. P ≤ 0.05 was considered statistically significant.
10
Statistical Analysis of Continuous and Categorical Variables
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Continuous variables were expressed as means ± standard deviations and compared using Student’s t test. Categorical variables were expressed as numbers and percentages and compared using a chi-square or Fisher’s exact test. A P-value of < 0.05 was considered statistically significant. All probabilities were two tailed. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Variables with a P-value of < 0.2 in the univariate analysis were included in the multivariate logistic regression models. All analyses were performed using Microsoft Excel version 14.6.4 (Redmond, WA, USA) and IBM SPSS Statistics for Macintosh version 23.0 (Armonk, NY, USA).
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