The Biostatistics Group

Biostatistics is a fundamental part of biomedical research. As new and more complex biomedical problems emerge, there is a need to find novel ways of applying existing statistical methods and to develop new approaches that ensure reliable results for informing patient care.

The Biostatistics Group, led by Professor Rumana Omar, designs and analyses health studies and conducts research to identify optimal statistical methodologies for particular biomedical and healthcare data.

The group includes joint posts with UCL Statistical Science, the Joint Research Office and the PRIMENT Clinical Trials Unit and has expertise in:

  • Study designs including early and late phase trials, cluster randomised trials, observational studies and other innovative designs
  • Statistical methods including risk prediction models, machine learning techniques, causal inference, and statistics for health economics.

The Biostatistics Group works with all BRC research themes and is currently collaborating on 60+ research studies, with involvement in 20+ UCL/UCLH led grant applications as co-applicants (annually). Biostatistics Group members regularly publish in leading medical and statistical journals and contributed to five research impact cases in the 2021 Research Excellence Framework (REF) assessment for UCL. They have acted as experts on MRC, HTA, and RfPB funding panels.

The Biostatistics group statisticians are available for collaboration with health researchers on grant applications and research projects. The group also provides statistical advice and training.  Read more about Biostatistics support and how to contact the Biostatistics group.