Statistics Seminar Series
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.