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The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in R and will require some learning on Bayesian modelling.

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Bayesian Modelling of excess mortality following the COVID-19 pandemic

BSc project - 30 credits

Difficulty: 😬 😬 😬

Description: Requires skills in R and will require some learning on Bayesian modelling. The project can be split into a couple of different sub-projects that different students can take on at the same moment. The analyses will revolve around generalised linear models (Poisson regression) and may include extensions to spatio-temporal modelling.

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The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in R and will require some learning on Bayesian modelling.

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