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The statistical analysis is based on R programming. The software R is a robust statistical program
which covers almost all areas of statistical methods. Alternatively should you wish to use a more
commercial but less flexible program, we can support with SPSS syntax files.
Please find below methods for getting fast and reliable solutions:
 Descriptive statistics and chart creation (frequency determination, mean, median, standard deviation and confidence interval).
 Cross tables with top box values, averages, min, max, standard deviation etc.
 Comparison of mean values for independent and dependent samples.
 Nonparametric tests (e.g. Utest of Mann and Whitney, Wilcoxontest, KruskalWallis Htest).
 Reliability analysis with calculation of Cronbach's Alpha, selectivity index and difficulty index.
 Analysis of variance (ANOVA, ANCOVA, ANOVA for repeated measures, multiple classification analysis).
 Cross tables with chisquare test or Fisher test.
 Correlation analysis with determination of the Pearson correlation coefficient or Spearman's Rho.
 Principal component analysis and factor analysis.
 Cluster analysis.
 Discriminant analysis.
 Multiple linear regression analysis.
 Binary logistic regression analysis.
 Time series analysis.
 Panel data analysis.
 Survival analysis: KaplanMeier method and calculation of log rank test, Cox regression.
 Creation of ROC curves to calculate the sensitivity and specificity of test variables.

