Jacinth Yan


Om mig

I have a background in epidemiology and public health.

As a statistician, I possess a thorough understanding of data management and statistical modeling methodologies. My expertise encompasses a spectrum of techniques, including multistage biosystems, latent class models, survival models, generalized estimating equations, and marginal structural models. Furthermore, as an epidemiologist, I am committed to utilizing observational databases to effectively measure relavant variables, assess associations, and make inferences on both sampled and unsampled study populations.

I have experience in study design, including the development of appropriate research questions, sample size calculation and selection of the most appropriate study design to answer the research questions. I also have experience in collaborating with clinicians to provide the best results in clinical trials and observational studies. At present, I am actively engaged in collaboration with Matteo and other esteemed colleagues on multiple research projects.




Lissing, M., Vassiliou, D., Floderus, Y., Harper, P., Yan, J., Hagström, H., Sardh, E., & Wahlin, S. (2022). Risk for incident comorbidities, non-hepatic cancer and mortality in acute hepatic porphyria: A matched cohort study in 1,244 individuals. Journal of inherited metabolic disease. https://doi.org/10.1002/jimd.12583

Hagström, H., Yan, J., Talbäck, M., Andreasson, A., Walldius, G., Bottai, M., & Hammar, N. (2022). Improved prediction of 10-year risk of severe liver disease in the general population using commonly available biomarkers. Alimentary Pharmacology & Therapeuticshttps://doi.org/10.1111/apt.17374

Pettersson, A.-K., Santoni, G., Yan, J., Radkiewicz, C., Xie, S., Birgisson, H., . . . Lagergren, J. (2022). Cohort profile: Nordic Helicobacter Pylori eradication project (NordHePEP). Scandinavian Journal of Gastroenterology, 1-7. https://doi.org/10.1080/00365521.2022.2144435


  • Master of Science in Global Health, Karolinska Institutet