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
- 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)
- 2019- Depression and anxiety in patients with thyroid cancer in China (£1434 Global Challenge Research Fund responsive fund, principle investigator)
- 2018- New technology to improve capability for clinical radiopharmaceutical production (£584k funded by MRC BMC-DPFS; biostatistician)
- 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)
- 2014- Paediatric early warning system (PEWS): Utilisation and Mortality Avoidance. (The PUMA Study; 1.9m funded by NIHR HS&DR; 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.
- Advisory Panel member: National Institute for Health Research (NIHR)
- Research for Patient Benefit (RfPB) Yorkshire and North East (YNE) Regional Advisory Panel
- Chartered Statistician (CStat) and member: Royal Statistical Society (RSS)
- Fellow: Higher Education Academy
- Member: College of Experts for the NIHR COVID Recovery and Learning Research
- Member: International Biometrics Society (IBS)
- Member: Cochrane
External trials committee membership
- 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