People

Dr Weiqi Liao

Senior Biomedical Statistician

Dr Weiqi Liao

School/Department: Department of Cardiovascular Sciences

Telephone: +44 (0)116 204 4792

Email: weiqi.liao@leicester.ac.uk

Address: Cardiovascular Sciences (Clinical Sciences Wing), Glenfield General Hospital, Leicester, LE3 9QP

Profile

I joined the University of Leicester in October 2023.

I am a Senior Biomedical Statistician supporting observational and interventional studies in the Cardiac Surgery Team of the Department of Cardiovascular Sciences.

I use epidemiological and statistical methods and do health services research to improve health outcomes of major non-communicable diseases (such as cancer, cardiovascular diseases, ageing and dementia) at the population level.

 

This personal webpage was updated on 22 November 2023.

Research

I lead on statistical analyses in clinical trials and observational studies using electronic health records (EHRs) from hospital episode statistics (HES) in cardiac surgery. Current projects include:

  • I am the trial statistician of the Val-CARD study (NCT03825250), a randomised controlled trial of pre-surgery sodium valproate, for the prevention of organ injury in cardiac surgery.
  • Evaluating the diagnostic accuracy of novel organ injury biomarkers in adult cardiac surgery (the COPTIC-2 study)

Publications

Key publications:

  1. Weiqi Liao, Carol Coupland, Judith Burchardt, David Baldwin, Fergus Gleeson, Julia Hippisley-Cox. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models. The Lancet Respiratory Medicine. 2023 Aug;11(8):685-697. doi: 10.1016/S2213-2600(23)00050-4.
  2. Weiqi Liao, Carol Coupland, Hamish Innes, Peter Jepsen, Philippa Matthews, Cori Campbell, Eleanor Barnes, Julia Hippisley-Cox. Disparities in care and outcomes for primary liver cancer in England during 2008-2018: a cohort study of 8.52 million primary care population using the QResearch database. eClinicalMedicine (Lancet Discovery Science). 2023 May 11:59:101969. doi: 10.1016/j.eclinm.2023.101969.
  3. Weiqi Liao, Ashley Clift, Martina Patone, Carol Coupland, Arturo González-Izquierdo, Stephen P Pereira, Julia Hippisley-Cox. Identifying symptoms associated with diagnosis of pancreatic exocrine and neuroendocrine neoplasms: a nested case-control study of the UK primary care population. British Journal of General Practice. 2021; 71(712):e836-e845.

 

Other selected publications:

 

Awards

Education

  • I was awarded a 1+3 full studentship for my MRes & PhD programmes from the Economic and Social Research Council (ESRC, UK, Advanced Quantitative Method Pathway for international students).
  • I was awarded a full studentship for my research Master in Epidemiology and Health Statistics.
  • I was awarded a scholarship for my overall academic performance in undergraduate at the graduation ceremony.

 

Projects

  • I have a project award titled “Prediction Models for Lung Cancer in Never Smokers” as a principal investigator, funded by NIHR School for Primary Care Research (from 1 April 2023 to 30 September 2024).
  • I was awarded seed funding to involve and engage patient and public contributors to develop research proposals for external funding.

 

Travel grants

  • I was awarded seven travel grants for national/international conferences, summer schools, and short-term academic visits.

 

Funded internship

  • I hosted a Black in Cancer summer intern as a mentor during July – September 2023 at the University of Oxford, funded by Cancer Research UK (Cambridge Institute).

Media coverage

Risk prediction model to predict an individual’s risk of getting lung cancer in the next 10 years

 

Symptoms for pancreatic cancer

Qualifications

Doctor of Philosophy (PhD) in Health Sciences

Master of Research (MRes) in Clinical & Health Research

Master of Medicine (MMed, research degree) in Epidemiology & Health Statistics

Bachelor of Management (BMgt) in Health Services Management

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