Jantje Goerdten
- Department: Epidemiological Methods and Etiological Research
- Unit: Molecular Epidemiology
Curriculum vitae
July 2020 – present PhD candidate, BIPS
Project: Identification of novel dietary biomarker in children and young adolescents
September 2018 – June 2020 Research Assistant, University of Edinburgh
Project: Optimal dementia risk prediction models and validation for young individuals
August 2017 – July 2018 Master of Science Epidemiology, Universiteit Maastricht
Master thesis title: Diabetes Mellitus Type 2 and Dementia Risk in Primary Care – What is the Role of Comorbid Vascular Disorders?
October 2014 – July 2017 Bachelor of Arts Public Health/ Gesundheitswissenschaften, Universität Bremen
Project: Identification of novel dietary biomarker in children and young adolescents
September 2018 – June 2020 Research Assistant, University of Edinburgh
Project: Optimal dementia risk prediction models and validation for young individuals
August 2017 – July 2018 Master of Science Epidemiology, Universiteit Maastricht
Master thesis title: Diabetes Mellitus Type 2 and Dementia Risk in Primary Care – What is the Role of Comorbid Vascular Disorders?
October 2014 – July 2017 Bachelor of Arts Public Health/ Gesundheitswissenschaften, Universität Bremen
Research interests
Molecular epidemiology
Nutritional epidemiology
Epidemiology of Ageing
Nutritional epidemiology
Epidemiology of Ageing
Projects
Selected publications
Articles with peer-review
- Muniz-Terrera G, Robitaille A, Goerdten J, Massa F, Johannson B. Do I lose cognitive function as fast as my twin partner? Analyses based on classes of MMSE trajectories of twins aged 80 and older. Age and Ageing. 2021; (Epub 2020 Oct 31).
https://doi.org/10.1093/ageing/afaa239 - Watermeyer T, Goerdten J, Muniz-Terrera G. Cognitive dispersion and ApoEe4 genotype predict dementia diagnosis in 8 years follow-up of the oldest-old. Age and Ageing. 2021; (Epub 2020 Nov 14).
https://doi.org/10.1093/ageing/afaa232 - Goerdten J, Carrière I, Muniz-Terrera G. Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2020;6(1):1-8.
https://doi.org/10.1002/trc2.12041 - Goerdten J, Cukic I, Danso SO, Carrière I, Muniz-Terrera G. Statistical methods for dementia risk prediction and recommendations for future work: A systematic review. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2019;5(1):563-569.
https://doi.org/10.1016/j.trci.2019.08.001 externe Publikation - Poster bei wissenschaftlicher Tagung
- Goerdten J, Carrière I, Muniz-Terrera G. Does an advanced statistical technique perform better than a simple technique for dementia prediction? Alzheimer's Association International Conference (AAIC), 27-31 July 2020, online poster. (Abstract published in: Alzheimer's & Dementia. 2020;16(S10):e040837)
- Goerdten J, Cukic I, Danso SO, Carrière I, Muniz-Terrera G. Are existing dementia risk prediction models reliable? Alzheimer's Association International Conference (AAIC), 27-31 July 2020, online poster. (Abstract published in: Alzheimer's & Dementia. 2020;16(S10):e040814)
For further publications please follow this link:
The responsibility for the content of this page lies with Jantje Goerdten.