Genomics and biomedical statistics research
Our particular research strength lies in developing statistical methods for various biological and medical studies, and in forensic analyses.
Experimental designs
We develop novel approaches to the design and analysis of data for biological and medical experiments. Our research covers experimental designs for biological laboratories and agriculture research. We also develop methods for clinical trials.
Methods for observational studies
We focus on developing novel methods of analysing data for observational studies. Examples include the analysis of data from nested case-control studies and large-scale cohort studies.
Human genomics and bioinformatics
Our novel analysis methods help to interpret various types of human genetic data. Our designs include the development of analyses for high-dimensional multi-layer omics data to detect disease-associated genetic markers.
Our researchers
Professor James Curran
- Forensic DNA analysis
Emeritus Professor Peter Byard Davis
- Health inequalities
Dr Yannan Jiang
- Complex designs
- Longitudinal studies
Dr Beatrix Jones
- High throughput biological assays
Professor Thomas Lumley
- High-throughput omics data
- Complex survey designs
Dr Patricia Metcalf
- Medical statistics
Mr Peter Robert Mullins
- Clinical trials
Dr Claudia Rivera-Rodriguez
- Two-phase sampling
- Survey designs
Dr Katya (Kathy) Ruggiero
- Optimal design and analysis of two-phase experiments
- High-throughput omics experiments
Professor Chris Triggs
- Experimental designs
- Biometric
Dr Yalu Wen
- High-throughput omics data
- Medical statistics