Statistical Modeling of Primary Data Unit
The unit is responsible for the statistical and methodological aspects of planning, conducting, analyzing, FAIRifying, and publishing epidemiological studies. It specializes in the analysis of primary data (including nutritional data, physical activity data, genetic and molecular data), also in combination with secondary data (e.g., spatial exposure data). Federated data analysis plays an increasingly important role. With this statistical method, analysis codes are transmitted with the data so that no personal data need to be transferred, thus ensuring privacy and data security.
Our aims are:
- Biometrically sound design of projects
- Application, comparison, adaptation, and further development of innovative analytical methods
- Modeling of genetic and molecular risk factors
- Improving research data infrastructure (including development of interactive dashboards)
- Strengthening federated data analysis
We pursue our diverse research interests in projects with internal and external collaborators. These include:
- Improving the classification of physical activity and eating behavior
- Developing tools for standardized data quality assessment and strengthening of FAIR principles (Findability, Accessibility, Interoperability, and Reusability)
- Modeling geographic data to investigate spatial exposure and primary data
- Application of graphical models and network analyzes
- Modeling and interpretation of gene-gene and gene-environment interactions
- Further development of federated data analysis, including the implementation of statistical methods such as GAMLSS
- Improving record linkage of research-relevant data sources in Germany and creating a central catalog of health-relevant study data
Current Projects
Only currently running projects or those where publications are still in preparation or those that ended less than a year ago will be shown. The entries are sorted alphabetically.
- Cross-departmental Center B: Data Science
- Adaption effectiveness study of the Healthy Dads, Healthy Kids programme in Germany
- Cross-departmental Center A: Research Data Infrastructure
- Determinants of eating behaviour in European children, adolescents and their parents - I.Family study
- Development and evaluation of three-stage procedures for modeling exposure patterns in epidemiological studies
- Growing up healthy: Obesity prevention tailored to critical transition periods in the early life-course
- Identification and prevention of dietary- and lifestyle-induced health effects in children and infants - IDEFICS study
- Monitoring of physical activity and promotion of physical activity - development of indicators for the prevention indicator system of the federal states
- National research data infrastructure for personal health data
- Pooled analysis of European case-control studies on the interaction of occupational carcinogens in the development of lung cancer
- Record linkage of cancer registry data and multimodal, reporting-based diagnostic data for Al-based biomarker detection
- Standards and tools for data monitoring in observational studies
- Statistical modeling of covariate-varying networks
- Wearable sensor assessment of physical and eating behaviours
- “INDEEP” - Intervention on the determinants of and expertise in physical activity behaviours
Staff
Buck, Christoph, Dr.
Tel.: +49 (0)421 218-56944
Fax: +49 (0)421 218-56941
buck(at)leibniz-bips.de
Foraita, Ronja, Dr.
Tel.: +49 (0)421 218-56954
Fax: +49 (0)421 218-56941
foraita(at)leibniz-bips.de
Intemann, Timm, Dr.
Tel.: +49 (0)421 218-56984
Fax: +49 (0)421 218-56921
intemann(at)leibniz-bips.de
Mändle, Andreas, Dr.
Tel.: +49 (0)421 218-56794
maendle(at)leibniz-bips.de
Peters, Manuela, Dr.
Tel.: +49 (0)421 218-56924
Fax: +49 (0)421 218-56941
mpeters(at)leibniz-bips.de
Pohlabeln, Hermann, Dr.
Tel.: +49 (0)421 218-56947
Fax: +49 (0)421 218-56941
pohlabeln(at)leibniz-bips.de
Swenne, Annika
Tel.: +49 (0)421 218-56943
Fax: +49 (0)421 218-56941
swenne(at)leibniz-bips.de
Ronja Foraita
Head of Unit
Contact:
Dr. Ronja Foraita
Tel: +49 (0)421 218-56954
Fax: +49 (0)421 218-56941