Spss statistics for mac version

To examine the main effects of ABCA7 genotype (risk versus non-risk) on cognition and the moderating role of sleep quality (poor, average, good), a univariate analysis of covariance (ANCOVA) was conducted, with ABCA7 genotype and sleep quality as fixed factors and age and years of education as covariates. Any significant interactions were explored further with simple main effects analysis (with Bonferroni correction for multiple comparisons) as described in the Results section below. All assumptions for ANCOVA were checked and met prior to analyses. All statistical analyses were performed using IBM SPSS® Statistics for Mac, version 28.0.1.1 (IBM Corp., Armonk, NY, USA).

The analysis was done using Statistical Package for Social Sciences (SPSS) v 28.0 (IBM Corp. Released 2021. IBM SPSS Statistics for Mac, Version 28.0.1.0 (142) Armonk, NY: IBM Corp.) Analysis was done using two methods - per protocol and intention to treat (ITT) using last observation carried forward method for imputation. Patients completing follow-up and assessments at least up to 6 week following initiation of the therapy were included in ITT analysis. Descriptive statistics was calculated. Normality of data was tested using Shapiro-wilk test. Chi Square test was used to compare categorical variables across groups. To compare continuous variables across groups that were normally distributed, paired t test and independent sample t test were applied. Man-Whitney U test was done to compare continuous variables not having normal distribution (CGI-I).
A mixed ANOVA with Bonferroni correction was used to compare improvement in IRLS score over the study period. Age, duration of illness, family history of illness and serum ferritin at baseline were taken as co-variates. While comparing the change in RLS severity across seven timepoints of measurements, test of sphericity could not be met in the sample; hence Greenhouse-Geiser corrected degrees of freedom were used while interpreting the results. Levene's test depicted a homogenous variance.

Statistical analysis was completed using IBM SPSS Statistics for Mac, version 25.0, released 2017 (Armonk, NY: IBM Corp). Content analysis using the 25-question assessment and the DISCERN instrument was performed by treating the data as ordinal variables and analyzing with the Kruskal–Wallis test. A post-hoc Dunn-Bonferroni test was used to determine pairwise comparisons. Statistical significance was set at P≤0.05 for the main comparisons and the pairwise comparisons. The readability analysis was conducted using a Kruskal–Wallis test to compare the mean reading grade level for each article. A post-hoc Dunn-Bonferroni test was used to determine pairwise comparisons. A Spearman correlation test was carried out to evaluate correlation between accuracy and readability. Statistical significance was set at P≤0.05 for the main comparisons, Spearman correlation, and pairwise comparisons.

SPSS Statistics for Mac (version 17; SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. Interdependence between immunostaining and FISH results as well as clinical data was calculated using the Chi-squared and Fisher's exact tests and displayed by cross-tables. Group differences were examined using the t-test. Survival curves were plotted using the Kaplan-Meier method and analyzed using the log-rank test. Univariate and multi-variate analyses were performed for prognostic factors of recurrence-free and overall survival using the Cox regression model. All tests were two-sided. P<0.05 was considered to indicate a statistically significant difference.