Statistics for Health Economic Evaluation

HTAinRmanifesto

BayesianMixtureCure

Bayesian Mixture Cure Modelling in Stan

blendR-paper

covid

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.

Polished-Fribble

Login system for stats department

speed-limits

The project aims at using quasi-experimental designs to estimate the impact of policy reducing speed limits in major cities, on the number of road accidents. It is based on Bayesian hierarchical modelling and Poisson regression

stat0019_binder

This repo is used to create a fully functional Rstudio environment for computation

blendR

Blended survival analysis

Epitome

EPITOME project

mimR

An R package for multiple imputation marginalisation.

.github

COVID_Italy

Data on mortality in Italy for the PLOS paper

STAT0019-practicals

gender-bias-in-hiring

The project can be split into different sub-projects (easy difficulty: replication of the published meta-analysis for evidence of gender bias in hiring decisions; medium for newer modelling). Requires skills in R and will require some learning on Bayesian modelling.

london-bikes

Estimate the relationship between the number of bikes shared around the London network on a given day, depending on weather and other characteristics to predict the capacity needed to satisfy demand at any given point. Requires R and familiarity with non-linear regression models