I am a medical statistician at the Institute of Clinical and Applied Health Research (ICAHR) Methods Hub. I work closely with the Hull Health Trials Unit. My main duty is to provide statistical methodological resource to safeguard the full range of applied health research such as clinical trials, health services research, clinical and population epidemiology, clinical and health psychology and public health.
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 became a Senior Lecturer in Statistics at the Hull York Medical School, University of Hull.
- 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 arise in the development of statistical methodology in various research fields, particularly when it applies to clinical and medical science. This includes experimental design, longitudinal data analysis, survival analysis, missing data issues and informative observations, joint modelling approach and variable selection.
Collaboratively Dr. Chao Huang has been largely involved in research covering a variety of health-related fields. This leads to his research focus on trial methodology, particularly the ones with complex design.
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.
Funded research: on-going
- 2021- Adapting a smartphone-based rehabilitation programme for older adults living with and beyond cancer: an intervention development study (£149K funded by NIHR RfPB; co-applicant)
- 2021- The Cognitive Daisy (COG-D) for improving care for residents with dementia in care homes: A feasibility RCT (£278k funded by NIHR RfSC; co-applicant)
- 2021- A prospective observational study to explore the relationship between nuTRition, protein intake ANd muScle mass loss during and after Pediatric Intensive caRE: the TRANSPIRE study (£156k funded by NIHR RfPB; co-applicant)
- 2019- High Intensity Interval Training In pATiEnts with intermittent claudication (INITIATE): a proof-of-concept prospective cohort study to assess acceptability and clinical efficacy (The INITATE study; £135k funded by NIHR RfPB; co-applicant)
- 2017- Biomarker-guided duration of Antibiotic Treatment in Children Hospitalised with confirmed or suspected bacterial infection (The BATCH Trial; 1.4m funded by NIHR HTA; co-applicant).
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 PhD students
- 2021- NIHR Pre-doctoral Fellowship - Laura Hermann (co-supervisor)
- 2019 - Saphsa Codling. Elucidating the relationships between physical activity, physical and psychological health status (including mood, stress) and alcohol misuse in women (co-supervisor).
- 2020 - Louise Anders. Exploring the relationship between cognitive deficiencies and mood during pregnancy. (co-supervisor).
- Advisory Panel member: NIHR Research for Patient Benefit (RfPB) Yorkshire and North East (YNE) Regional Advisory Panel 2017-22
- Committee Member: NIHR Pre-Doctoral Fellowship Selection Committee
- Chartered Statistician (CStat) and member: Royal Statistical Society (RSS)
- Fellow: Higher Education Academy
- Editorial advisory board: Nursing in critical care
- Member: International Biometrics Society (IBS)
- Member: Cochrane
- Member: UKCRC Registered CTU Network statistical group
- Member: UoH - Animal Welfare Ethical Review Body (AWERB)
External trials committee membership
- MoodHwb trial: Trial Steering Committee (TSC) Chair & Independent Statistician
- PATH-2 Trial: Data Safety and Monitoring Committee (DSMC) Chair & Independent Statistician
- STUMBL Trial: Trial Steering Committee (TSC) Independent Statistician
- MiPain Trial: Data Monitoring Committee (DMC) Independent Statistician
- CBT-AF Trial: Data Monitoring Committee (DMC) Independent Statistician