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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. U-test of Mann and Whitney, Wilcoxon-test, Kruskal-Wallis H-test).

  • Reliability analysis with calculation of Cronbach's Alpha, selectivity index and difficulty in-dex.

  • Analysis of variance (ANOVA, ANCOVA, ANOVA for repeated measures, multiple classifi-cation analysis).

  • Cross tables with chi-square 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: Kaplan-Meier method and calculation of log rank test, Cox regression.

  • Creation of ROC curves to calculate the sensitivity and specificity of test variables.