From biostatistics and the design of experiments to modelling and survey methods, explore our 5 research themes in detail.
We carry out research in statistics, demography and social surveys.
Biostatistics
Our work looks at how statistics can help the field of medical research. We apply statistical methods to the design and analysis of clinical trials and public health initiatives.
Our expertise in this theme includes:
designing experiments with medical and pharmaceutical applications
advancing research into diabetes, back pain and cancer
finding ways to analyse complex random data
developing tools to judge the size of elusive target populations
identifying patterns in different analysis methods
Design of experiments
We research the design and analysis of experiments. We work with scientists and engineers from academia and industry.
Modelling
We study statistical analysis methods for the fields of physical and environmental sciences, engineering and social sciences. Our work involves analysing data with complex structures.
Our expertise in this theme includes:
using complex categorical data with applications in social sciences
using large datasets in ecology, the environment and health sciences
applying Bayesian approaches to chemical or biological sources
applying Bayesian approaches to social sciences issues
Policy and evaluation
We apply the use of statistics to large and complex survey data. Our work helps understand topics like migration flows, education, poverty, global public health and charitable giving.
Our expertise in this theme includes:
using modelling to understand migration in England and Wales and across Europe
studying falling levels of fertility and changes to the structures of families and households
examining sickness and health among members of the Hampshire Friendly Society
assessing the success of a UN reproductive health and family planning project in China
learning more about how donations for development have changed over time
Survey methods
Our group explores how different survey data collection methods can influence the quality of statistics.
