The data was analyzed using SPSS for Macintosh, version 21.0 (IBM Corporation, New York, USA). All distributions and frequencies of medical data were compared by Fisher ‘s exact test.
Spss for macintosh version 21
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SPSS for Macintosh, version 21.0, is a statistical software package designed for data analysis on Apple Macintosh computers. The software provides a comprehensive set of tools for data manipulation, statistical modeling, and data visualization.
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7 protocols using spss for macintosh version 21
1
Comparing Medical Data Distributions
2
Retrospective Study of SAIF Flap for OSCC
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This was a retrospective study performed in two centers with the same surgical and reconstructive philosophy (Clínica Medilaser [CMN] and the Hospital Universitário Donostia [HUD]). Approval by the ethics committees of both hospitals was obtained. Patients diagnosed with stages I and II OSCC according to the criteria of the Union Internationale Contre le Cancer (UICC) and the American Joint Committee on Cancer (AJCC-7th edition), previously untreated, with clinical and radiologic N0 neck who were considered candidates for this kind of reconstructive surgery were included. The reason why the SAIF flap was chosen as an option to reconstruct the oral cavity after ablative surgery according to each center experience was highly selected availability for microsurgical free flap reconstruction (CMN) or due to the patient's comorbidities (CMN and HUD).
The surgical technique used was a standard SAIF previously described by other authors
15 (link)
(
Fig. 1 ). Statistical analysis was conducted with SPSS for Macintosh Version 21.0 (IBM Corp., Armonk, NY, USA). Categorical data are presented as frequencies and percentages. Continuous data are presented as means and standard deviations [SD].
The surgical technique used was a standard SAIF previously described by other authors
15 (link)
(
3
Statistical Analysis of Experimental Data
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Data was analysed using SPSS for Macintosh (Version 21.0) software (IBM Corporation, New York, USA). All metric parameters are expressed as total numbers (%) or mean ± standard deviation (SD). Comparison between groups was made using an unpaired t-test. A p-value <0.05 was considered statistically significant.
4
Comparative Analysis of Treatment Outcomes
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Continuous data are shown as mean with standard deviation if normally distributed, or with median and minimum-maximum otherwise. Categorical variables are described with absolute numbers and percentages. Comparison between groups were analysed by Wilcoxon and χ2 test when appropriate. All calculations were performed using SPSS for Macintosh, Version 21.0 (IBM Corp., Armonk, NY).
5
Statistical Analyses for Experimental Study
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Statistical analyses were performed using IBM SPSS for Macintosh version 21.0 (SPSS, IBM Corp., Armonk, NY). Fisher’s exact test was used to compare frequencies for categorical variables. Independent t tests were used to assess mean differences between groups. Paired t tests were used to assess mean differences between matched pairs (i.e., pre vs post). Because of multiple comparisons, a P value of less than 0.01 was considered significant. An a priori power analysis was performed. To achieve 80% power, with an α level of 0.05, sufficient to detect a moderate treatment difference (d = 0.50),9 52 subjects would be needed.10 (link)
6
Maternal PTSD Impact on Child Psychopathology
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For calculations of Pearson correlations and t-test the following symptom and event sum scores were used: maternal traumatic event types, children’s psychopathology, children’s experienced maternal violence. Group differences were calculated according to maternal PTSD diagnosis, defined according to DSM-IV criteria. In order to explore how different factors contribute to the psychopathology of the children and children’s experienced maternal violence at home, we calculated hierarchical linear regression model. These included potential confounding covariates, such as children’s gender, number of siblings, educational level (current school grade) and the family’s economical status, all of which did not significantly explain any further variance in children’s psychopathology. A priori there was insufficient knowledge to reasonably estimate the effect size, and the usefulness of post-hoc power analyses remains controversial [43 (link)]. As Hoenig and Heisey [44 (link)] show, all post-hoc power analyses suffer from what is called the "power approach paradox". Given that post-hoc power is a function of the p-value attained, it adds little information. Analyses were performed with SPSS version 21 for Macintosh.
7
Statistical Analysis of Experimental Data
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Two-way analyses of variance was used for all of the statistical analysis (SPSS Version 21 for Macintosh (SPSS Inc., 119 Chicago, IL, USA, 2014). P≤0.05 value was used to identify significant differences.
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