Annika Swenne
- Department: Biometry and Data Management
- Unit: Statistical Modeling of Primary Data
- Since Feb. 2023: Research associate at BIPS
- 2019-2022: Mathematics (M.Sc.) and Medical Biometry/ Biostatistics (M.Sc.) at the University of Bremen
- 2016-2019: Biomathematics (B.Sc.) at the Hochschule Koblenz
Articles with peer review
- Swenne A, Veidebaum T, Tornaritis M, Dello Russo M, Moreno LA, Molnár D, Mårild S, De Henauw S, Pigeot I, Pohlabeln H. Reliability of parental recall of birth weight, birth length and gestational age in the multicenter cohort study IDEFICS. Maternal and Child Health Journal. 2024;28(12):2071-2085.
https://doi.org/10.1007/s10995-024-04009-y Presentations at scientific meetings/conferences
- Swenne A, Hebestreit A, Sigcha L, Oppert J-M, Cimler R, Elavsky S, Vetrovsky T, Donnelly A, Buck C. Classification of physical behaviours using hip- and wrist-worn accelerometry. 9th International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM) of the International Society for the Measurement of Physical Behaviour (ISMPB), 18-21 June 2024, Rennes, France.
- Swenne A, Intemann T, Pigeot I. Federated generalized additive models for location, scale and shape in DataSHIELD. 70th Biometric Colloquium, 28 February-1 March 2024, Lübeck.
Presentations at scientific meetings/conferences (invited)
- Swenne A, Wright MN. Confounder adjustment with random forests based on local residuals in genetic association studies. 5th Conference of the Central European Network (CEN), 3-7 September 2023, Basel, Switzerland.
Selected BIPS-Publications
For further publications please follow this link:
- Bernd-Streitberg-Preis 2023
Deutsche Region der Internationalen Biometrischen Gesellschaft (2023)Masterarbeit mit dem Titel "Confounder Adjustment with Random Forests based on Local Residuals in Genetic Association Studies" - Fachbereichspreis 2022 Mathematik
Fachbereich 3, Universität BremenMasterarbeit im Studiengang Medical Biometry/ Biostatistics mit dem Titel "Confounder Adjustment with Random Forests based on Local Residuals in Genetic Association Studies"
The responsibility for the content of this page lies with Annika Swenne.