Proposals for project/master-thesis topics (Høst 2025/Vår 2026)
I am interested in Bayesian inference with application to biostatistics, in particular statistical methods for epidemiological data,
computer-intensive methods, spatial and spatio-temporal methods, and measurement error/spatial misalginment analysis. I am using mostly INLA or Stan for full Bayesian inference
Potential topics for project/master theses could be around:
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Health equity in Europe:
In this project we analyze data from the European Social Service (ESS), a bi-annual repeated cross-sectional, pan-European, general social survey that collects data on health, social determinants, attitudes, beliefs, and behavior patterns of the European populations through eleven rounds of data collection since 2002.
Several research opportunities are open using this data source to answer questions around health equity in Europe with focus on temporal or spatio-temporal analysis. It will be important to adjust for survey design to avoid biased estimates. We will use general mixed effects models in a Bayesian framework.
This project is also linked to the CHAIN (https://www.ntnu.edu/chain) project. It opens for two students to collaborate. For more information contact Sara Martino or Andrea Riebler.
Project/Master-theses will typically combine methodological work, their implementation and application to simulated and/or real world data. A recommended course in this aspect is TMA4300 Computer intensive statistical methods.
I hope you find the project ideas outlined above interesting. Please contact me if you are interested in any of those topics or have any questions. I am also open to the suggestion of alterantive topics related to the fields outlined above.