Statistical analysis was performed using SPSS for Macintosh, version 23.0 (IBM Corp., Armonk, NY, USA). Continuous variables were presented as median with range and the categorical data were summarized as number and percentages. For categorical variables, differences between the two groups were analyzed with the chi-squared test or Fisher’s exact test. For continuous variables, Mann-Whitney U-test was used to analyze. P<0.05 was considered as statistically significant.
Spss for macintosh version 23
Manufactured by IBM
Sourced in United States
SPSS for Macintosh, version 23.0, is a statistical software package developed by IBM. It is designed to analyze and manipulate data on the macOS operating system.
Automatically generated - may contain errors
Lab products found in correlation
5 protocols using spss for macintosh version 23
1
Statistical Analysis of Continuous and Categorical Data
2
Statistical Analysis of Fat Injection
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Statistical analyses were performed using SPSS for Macintosh version 23.0 (SPSS, IBM Corp. Armonk, N.Y.). Independent t tests were computed to compare the treatment group with the control group. Chi-square tests were used when the data were categorical. Paired t tests were computed to compare mean differences between the parameters before and after fat injection. Analyses of covariance were used to control for any changes in patient weight after surgery. A P value of <0.05 was considered significant.
3
Statistical Analysis Methods for Biomedical Research
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Normally distributed data, presented as mean(s.d.), were compared using Student’s t test. Values with a non-normal distribution are presented as median (range), and were analysed using Mann–Whitney and Kruskal–Wallis tests. Factors associated with survival were examined in univariable Cox regression analyses. Hazard ratios (HRs) and the 95 per cent confidence intervals were estimated. Multivariable analysis was not deemed feasible owing to the relatively small number of included patients. P < 0.050 was considered significant. All statistical analyses were done using StatPlus® for Macintosh® version 7 (AnalystSoft, Walnut, California, USA) or SPSS® for Macintosh® version 23.0 (IBM, Armonk, New York, USA).
4
Statistical Analysis of Amygdala Responses
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Analyses were carried out using SPSS for Macintosh version 23.0. After exclusion of outliers of more than 1.5 interquartile ranges below or above the 1st or 3rd quartiles, continuous variables were assessed for normality using the Shapiro–Wilks test. Differences between group means were assessed using an independent samples t test for normally distributed variables, after using Levene's test to check for equality of variances. Mann–Whitney U tests were used for non-normally distributed variables. Between-group differences in terms of the magnitude of the amygdala outgroup effect, was tested with a two-tailed independent samples t test. Correlations between normally distributed variables were assessed using Pearson's product moment coefficient, and were only reported if they remained significant after removal of outliers defined as a Cook's d of >n/4. Correlations involving non-normally distributed variables were assessed using Spearman's rank correlation coefficient. All correlations were two-tailed with p < 0.05 defined as significant. Neighbourhood variables found on bivariate testing to show a significant correlation with right amygdala response were subsequently entered into a stepwise regression with right amygdala response as the dependent variable.
5
Amygdala Outgroup Effect Statistical Analysis
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