Postgraduate research

Statistical methods to improve the generalisability of published medical research results to a more ethnically diverse and representative population

Qualification: PhD

Department: Health Sciences

Application deadline: 21 August 2022

Start date: 26 September 2022

Overview

Supervisors

Project description

Medical research studies are often conducted in samples of participants that are not representative of the general population. Self-selected cohorts that rely on opt-in consent are known to differ from the general population, with fewer ethnic minority, socioeconomically deprived, less educated and poorer health participants. When systematic differences between those included in a study and the population of interest exist, the study results are likely to be biased, not generalisable, and have limited relevance to the general population. Any bias conclusions and recommendations made by the research may not apply to under-represented groups, which could result in them receiving sub-optimal health care. Representativeness is essential for accurate, unbiased, generalisable, and relevant medical research, and to avoid vulnerable people being overlooked for important benefits and be spared from identified harms.

This PhD aims to determine how statistical methods can be used to correct results from published consenting cohort studies to be more generalisable to the wider and more diverse population. The ethnic representation in COVID-19 research will be used as an applied case study to demonstrate and assess the methods. The student will conduct an in-depth systematic review to assess ethnic representation of COVID-19 consented cohort studies in the UK, and compare key demographics to the general population using UK census data. The student will identify existing statistical approaches for improving study generalisability and modify these to utilise aggregate data found in research publications. The modified approaches will be applied using existing study data to assess the impact of ethnicity and COVID-19 in healthcare workers. The approaches will be further tested using simulated data covering multiple potential scenarios.

The student will:

  • Develop multiple essential research skills including; systematic review, methods development, application and assessment of methods, and writing for peer-reviewed publication.
  • Contribute to broader research priorities of improving health of the general population.
  • Gain experience working within, and being supported by, a multidisciplinary team with external collaborations and established PPI group.

References

United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK- REACH): a retrospective cohort study using linked routinely collected data, study protocol, Lucy Teece, Laura J Gray, Carl Melbourne, Chris Orton, David V Ford, Christopher A Martin, David McAllister, Kamlesh Khunti, Martin Tobin, Catherine John, Keith R Abrams, Manish Pareek & The UK- REACH Study Collaborative Group, BMJ Open.
http://dx.doi.org/10.1136/bmjopen-2020-046392 

Ethnic differences in SARS-CoV-2 vaccine hesitancy in United Kingdom healthcare workers: Results from the UK-REACH prospective nationwide cohort study. Woolf K, McManus IC, Martin CA, Nellums LB, Guyatt AL, Melbourne C, Bryant L, Gogoi M, Wobi F, Al-Oraibi A, Hassan O, Gupta A, John C, Tobin MD, Carr S, Simpson S, Gregary B, Aujayeb A, Zingwe S, Reza R, Gray LJ, Khunti K, Pareek M; UK-REACH Study Collaborative Group. Lancet Reg Health Eur.
https://doi.org/10.1016/j.lanepe.2021.100180 

The United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): protocol for a prospective longitudinal cohort study of healthcare and ancillary workers in UK healthcare settings. Woolf K, Melbourne C, Bryant L, Guyatt AL, McManus IC, Gupta A, Free RC, Nellums L, Carr S, John C, Martin CA, Wain LV, Gray LJ, Garwood C, Modhwadia V, Abrams KR, Tobin MD, Khunti K, Pareek M; UK-REACH Study Collaborative Group. BMJ Open. 
https://doi.org/10.1136/bmjopen-2021-050647 

Ethnicity and clinical outcomes in COVID-19: A systematic review and meta-analysis. Sze S, Pan D, Nevill CR, Gray LJ, Martin CA, Nazareth J, Minhas JS, Divall P, Khunti K, Abrams KR, Nellums LB, Pareek M. EClinicalMedicine. 
https://doi.org/10.1016/j.eclinm.2020.100630 

Funding

Funding

This 3.5-year PhD Studentship provides:

  • UK tuition fee waiver
  • Annual stipend at standard UKRI rates (£16,062 for 2022/23)
  • RTSG of £1,500 p.a. for 3 years

Entry requirements

Entry requirements

Applicants are required to hold/or expect to obtain a UK Bachelor's Degree 2:1 or better (or overseas equivalent) in a relevant subject. 

A Master's degree in a relevant subject will be preferred.

The University of Leicester English language requirements apply where applicable.

 

Informal enquiries

Informal enquiries

Project enquiries:

Application enquiries:

How to apply

How to apply

To submit your application, please use the 'Apply' button at the bottom of the page and select September 2022 from the dropdown menu.

Include with your application:

  • CV
  • Personal statement explaining your interest in the project, your experience and why we should consider you
  • Degree Certificates and Transcripts of study already completed and if possible transcript to date of study currently being undertaken
  • Evidence of English language proficiency if applicable
  • In the reference section please enter the contact details of your two academic referees in the boxes provided or upload letters of reference if already available.
  • In the funding section please specify that you wish to be considered for the CLS Teece Studentship 
  • In the proposal section please provide the name of the project supervisors and project title (a proposal is not required)

 

 

Eligibility

Eligibility

UK (Home) applicants only

*Applicants holding EU Settled and Pre-Settled status, we will require a UK government share code so that we can verify your status (The share code we require starts with S)  please email your share code together with your application ID to pgradmissions@le.ac.uk  once you have submitted your PhD application.

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