Enoch Yi-Tung Chen

I am a statistician at the Division of Clinical Epidemiology (KEP), Department of Medicine Solna, Karolinska Institutet. My main research interests include developing and applying methods for population-based cancer epidemiology and for health technology assessment.

Currently, my work is primarily focused on 

(i) Prediction and prevention of late effects in AYA cancer survivors (PredictAYA),

(ii) Clinical cancer epidemiology, focusing on lymphoma (in the research group of Karin Ekström Smedby and Sandra Eloranta)

(iii) teaching at the Master’s Programme in Biostatistics and Data Science at Karolinska Institutet.

My personal academic website: https://enochytchen.com

I defended my doctoral thesis, Extrapolating survival with applications to health technology assessment, on 11 September, 2025. The full text is available on Karolinska Institutet's Open Archive: https://doi.org/10.69622/28869155.

Education
- 2021-2025, PhD in Medical Science (Biostatistics), Karolinska Institutet
- 2020, MSc in Public Health Sciences, Epidemiology, Karolinska Institutet
- 2018, BSc in Public Health, National Taiwan University

Awards

- My MSc thesis was awarded the Best Student Project of 2020 by the Swedish Society for Medical Statistics (Föreningen för Medicinsk Statistik).
Enoch Yi-Tung Chen. Extrapolating cancer patient survival: a comparison of the flexible parametric model and the rolling-over algorithm. Karolinska Institutet. MSc thesis. 2020. Available at: https://enochytchen.com/files/Chen2020_MScThesis.pdf

Biostatistics, Epidemiology, Health economics

I currently teach Survival analysis with applications in medicine together with Mark Clements at the Master’s Programme in Biostatistics and Data Science at Karolinska Institutet.

Previously, I had been involved in teaching of
- Data management and reproducible research (MSc in Public Health Sciences)
- Survival analysis (PhD course)
- Biostatistics workshops of Term 8 medical students' project (Examensarbete i medicin HT20)
- Introduction to R (PhD course)
- Applied Epidemiology I (MSc in Public Health Sciences--Epidemiology)