Dr Chao Wang

Faculty of Health, Science, Social Care and Education
Department of Social Work and Social Care
School of Education, Midwifery and Social Work
Centre for Health and Social Care Research
Kingston Hill

Associate Professor in Health & Social Care Statistics

[email protected]

+44 (0)208 417 5893

ORCID

About

I am an experienced statistician and have been doing research using applied statistics throughout my academic career, including PhD at Loughborough University, various research and statistician positions previously held at Loughborough University, University of Oxford, and Queen Mary University of London.

Throughout my career, I have acquired a range of statistical expertise particularly in the field of Bayesian analysis, discrete response models, spatial analysis, multilevel and panel data analysis, feature / variable selection, time-series data analysis, structural equation models, missing data handling, and survival analysis. I am also interested in and have gained sound knowledge in "machine learning" techniques such as artificial neural networks, and medical image analysis such as mammographic feature extraction.

I actively collaborate with other researchers to develop new research grant. I am interested in, and open to, any potential opportunities for research collaboration and PhD-level student supervision.

Qualifications

BEng in Transportation Management, Dalian Maritime University
MSc in Transport, Imperial College London
PhD, Loughborough University
FHEA

Domains

I have participated a number of funded projects as a co-investigator or named statistician:

2024: What kinds of children's homes work well for which children: a mixed methods study using linked national administrative data. Funded by NIHR. £356k.
2023: Lumella: Using glycosylated fibronectin in a Point of Care test for pre-eclampsia. Funded by NIHR. £701k.
2023: Linking household benefits, financial precarity and child welfare. Funded by Nuffield Foundation (co-investigator). £299k.
2021: A prospective cohort study, understanding blood pressure changes in the immediate twelve weeks postpartum for women who had a hypertensive disorder in pregnancy and how existing care pathways identify and monitor women at risk of cardiovascular disease. Funded by NIHR (CDRF, Supervisor Participant). £406k.
2021: Implementation of the non-medical practitioner workforce into the urgent and emergency care system skill-mix in England: a mixed methods study of configurations and impact. Funded by NIHR (co-investigator). £771k.
2021: Non-Ambulance Paramedic Placement. Funded by Health Education England (statistician). £29k.
2021: Women's experiences of induction of labour. Funded by Kingston University (co-investigator). £4.3k.
2021: An investigation of Maladaptive Schemas correlated with Co-dependency – a pilot study. Funded by Kingston University (co-investigator). £5.4k.
2019: The FRAIL-T study: nurse-led frailty assessment in elderly major trauma and the impact on outcome. Funded by The Burdett Trust for Nursing (co-investigator). £58k.
2018: A scoping project on the knowledge, attitudes and practices of paramedics report regarding pharmacology and the legal and regulatory issues of medicine management and administration within the UK NHS ambulance service (co-researcher). Funded by College of Paramedics. £1.3k.

Current PhD student

Elaine Sheehan (St George's, University of London)

Qualifications

Statistical modelling
Medical statistics
Quasi-experiment design and analysis
Econometrics

Specialisms

Applied statistics in medical and health research

Scholarly affiliations

Royal Statistical Society
The National Institute for Health Research Statistics Group

Publications

Care leaver outcomes for children in children’s homes: a retrospective cohort study using national administrative data for England

Goldacre, Allie, Martin, Emma, Jones, Ed, Coady, Caroline, Clements, Keith, Tempest, Hannah, Vincent, Rebecca, Wang, Chao and Hood, Rick, 2026, Children and Youth Services Review (185), Published

Dr Chao Wang

About

Qualifications

Domains

Teaching and learning

Research

Business, knowledge transfer and international

Publications

Articles

Books

Conference Items

Working Papers

Computer Applications

Videos of my work

Interview by BBC Radio on lifting the lockdown in June 2021

The p word

Diagnostic testing and Bayes' theorem

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