Dr Glenna Nightingale
Computational Social Science
Our vision is to apply statistical modeling approaches within a robust computational environment to address research questions within demography and health in social science. At the moment the methods employed include Generalised additive models and Latent Mixture models. We are currently preparing a manuscript which features GAMs and the use of the UKHLS data. Some of us will be working on an obesity project which starts in August 2023.
Glenna Nightingale née Evans
Statistical computing, Statistical methods
Computational Spatial Statistics
The vision for this strand of research is to apply spatial statistical methods to research questions in ecology, epidemiology, and public health. At the moment the methods used include point process models, namely, Area interaction point processes and Log Gaussian Cox point processes