Within the Institute for Clinical and Applied Health Research (ICAHR) and Hull York Medical School (HYMS) of Faculty of Health Sciences (FHS), I am responsible for the statistical aspects of innovative applied methods and provide methodological expertise for designing and conducting medical research. I work closely with the Hull Health Trials Unit (HHTU), steering its strategy development in statistics and research portfolio and overseeing a full range of clinical and applied health research projects.
Dr. Chao Huang obtained his PhD in Statistics from the University of Manchester in 2010 and then he worked as a Postdoctoral Research Associate in medical statistics during the following year. From 2012, he started his role as a Trial Statistician at the South East Wales Trial Unit, Centre for Trials Research, Cardiff University. From October 2017, he joined the Hull York Medical School, University of Hull.
Qualifications
- PhD in Statistics, University of Manchester, UK (2010)
- MSc in Probability and Mathematical Statistics, Nankai University, China (2006)
- BSc in Mathematical Statistics, Nankai University, China (2003)
As a statistical methodologist, Dr. Chao Huang’s research interests lie in the development of methodological and applied statistical research in various fields, with a specific focus on health-related sciences. This includes longitudinal data analysis, addressing missing data issues and informative observations, survival analysis, utilising joint modelling approach, conducting variable selection, performing simulation-based sample size calculations, and determining the adjusted anchor-based minimal clinically important difference.
As a statistician in medical school, Dr. Chao Huang actively develops leadership in quantitative study design and analysis in health-related research. Dr. Chao Huang establishes and expands research collaborations within HYMS and across faculties. He works with health professionals from the NHS, as well as trialists and researchers from external institutions through national and EU-funded research projects. In the capacity of principal investigator, Dr. Chao Huang initiates and leads studies for international research projects.
Within Hull York Medical School, Dr. Chao Huang undertakes teachings in statistics-related modules. He also provides teaching and consultancy services in statistics and evidence based medicine to NHS professionals from Hull University Teaching Hospital NHS Trust.
You are very welcome to contact me for potential PhD opportunities, if you have statistics related background and are interested in research on statistical methodology or medical statistics.
Current PGR students
2024-: PhD student- Karen-Marie Cowap. Suicide and Addiction: improving care pathways for people presenting to secondary care services. (co-supervisor)
2024-: PhD student- Natasha Lund. Resilience within the context of newly qualified nurses (co-supervisor)
2023-: MD student- Prabhsimran Singh. Prevalence of cirrhosis and its related complications amongst patients with Hereditary hemochromatosis in England (principal supervisor)
Previous PGR students:
2021- 2023-: NIHR Pre-doctoral Fellowship - Laura Hermann (research supervisor)
2019 -2024-: PhD student Saphsa Codling. Elucidating the relationships between physical activity, physical and psychological health status (including mood, stress) and alcohol misuse in women (co-supervisor).
Professional Memberships/Affiliations
Committee Member: National Institute for Health Research (NIHR) Pre-Doctoral Fellowship Selection Committee
Advisory Panel member: NIHR Research for Patient Benefit (RfPB) Yorkshire and North East (YNE) Regional Advisory Panel (2018-2022)
Editorial advisory board: Nursing in critical care
Chartered Statistician (CStat) and member: Royal Statistical Society (RSS)
Fellow: Higher Education Academy
Member: Cochrane
Member: UKCRC Registered CTU Network statistical group
External trial committee roles
2024-: CLARIFY study; Independent Data Monitoring Committee (IDMC) Chair & Independent Statistician
2024-: PsiDeR study; Trial Steering Committee (TSC) Independent Statistician
2023-: APPRAISE study; Trial Steering Committee (TSC) Independent Statistician
2021-: MoodHwb trial; Trial Steering Committee (TSC) Chair & Independent Statistician
2016-2017-: STUMBL trial; Trial Steering Committee (TSC) Independent Statistician
2015-2018-: PATH-2 trial; Data Safety and Monitoring Committee (DSMC) Chair & Independent Statistician