Statistics Consultancy Cluster

OUI’s consultancy cluster brings together the statistical knowledge and skills from across Oxford University to provide external clients with access to advice and expertise via consultancy, to assist clients solve their specific statistics challenges. Before you start your statistical experiment, analysis or survey, why not explore your statistical needs with us? Obtaining consultancy tailored to your needs may well save you time and money and ultimately lead to more clearly defined conclusions. Do get in touch, as we will be glad to help, however small or large your statistical query might be!

Areas of statistical expertise

Our academic and staff consultants from Oxford University will be pleased to help you with the following:

  • Design of statistical studies
  • Statistical modelling
  • Data collection and management
  • Data quality assessment studies
  • Statistical analysis and testing
  • Monitoring intermediate stages of long-term projects
  • Advice on data visualisation, interpretation of results and communication of findings
  • Statistical genetics and epidemiology
  • Machine Learning and AI
  • Protein Informatics, including software engineer consultancy services
  • Tailored training in statistical methods

Examples of consultancy work

Diagnosing acute disease and stress icon Diagnosing acute disease and stress

We have implemented the statistical analysis for several clinical studies conducted by a company that has developed and is testing a novel in vitro leucocyte blood test device across a range of sectors (cross-over trials, data with biological and technical replicates). The analyses included trials with Sepsis patients, COVID-19 patients, and healthy control groups, as well as a study on healthy participants assessing the link between leucocyte readings and stress. Findings from the descriptive and multivariable and mixed-effects regression analyses are feeding into academic journal publications and providing insights into the further development of the test device.

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Infectious disease modelling icon Infectious disease modelling

Capabilities in this area include developing and applying statistical and biomathematical methods to analyse the epidemiology (specifically transmission and control) of infectious diseases including COVID-19, Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), Ebola virus disease, Influenza A virus subtype H1N1, and other zoonoses. Work on COVID-19 has informed government policy in the UK, the US and elsewhere.

Work on animal diseases has included Bovine Spongiform Encephalopathy (BSE), foot-and-mouth disease, and bovine tuberculosis (TB) including evaluation of badger culling to control cattle TB in the United Kingdom.

Collaborative work has involved colleagues from the World Health Organization, the US Centers for Disease Control and Protection (CDC), Chinese Center for Disease Control and Prevention and other leading international universities and public health organizations.

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Improving treatment access icon Improving treatment access

A company in the international pharmaceutical sector is currently exploring options to address unmet needs of vulnerable patients. These are patients who might experience periods of lack of resources and either forego treatment or compensate for spending on drugs and treatment with savings on other basic needs. We have provided feedback and advice on data requirements and appropriate statistical models to measure treatment affordability, identify groups to target for additional support and measure changes in affordability over time. We have also provided ad-hoc inputs on the predictive modelling of the appearance of symptoms of a disease, using frequentist statistical methods as well as machine learning approaches.

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