wissenschaftliche Mitarbeiterin
Svenja Elkenkamp (M.Sc., M.Ed.) completed a Bachelor's degree in mathematics and biology. She then obtained a Master of Education and a Master of Science in Statistics. Svenja Elkenkamp has been working as a research assistant in the School of Public Health since March 2018. In addition to study and case number planning, her tasks include data preparation, restructuring and statistical analysis. She also develops shiny apps and R packages for various areas of application in healthcare research.
Completed projects:
- TELnet@NRW
- STROKE OWL
- KINBIOTICS
- Testing the robustness of the German EQ-5D-5L Value Set
Current projects:
- Further development of the R package xreg
- Development of a randomisation app
- FIAT
Methodological interests:
- Estimation of latent class models for EQ-5D data
- Selection of matching procedures in non-experimental studies
- Use of matched (SHI routine) data in inferential statistical analyses