Dr Chao Huang

Senior Lecturer in Statistics

Role at Hull York Medical School

As a Senior Lecturer in Statistics at the Hull York Medical School, Dr. Chao Huang provides 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. Particularly he works in statistical aspect in innovative applied methods design as well as designing and conducting research.

Biography

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.

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)

Research

As a statistical methodologist, my personal research interests arise in the development of statistical methodology in various research fields, particularly when it applies to clinical and medical science. This includes longitudinal data analysis, missing data issues and informative observations, survival analysis, joint modelling approach and variable selection.

Collaboratively I have been largely involved in research covering a variety of health-related fields. This leads to my research focus on quantitative methods in trials, particularly the ones with complex design.

Teaching

I provide teaching in statistics-related modules to Hull York Medical School students and support teaching to NHS professionals in Hull and East Yorkshire Hospitals NHS Trust.

Publications
Collaborations

Funded research: ongoing

  • 2018- Study of uTF and Endo180 as Markers of Early Malignancy in Pancreatic Cystic Lesions (The TEM-PAC study; co-investigator)
  • 2018- New technology to improve capability for clinical radiopharmaceutical production (MRC BMC-DPFS; biostatistician)
  • 2017- Biomarker-guided duration of Antibiotic Treatment in Children Hospitalised with confirmed or suspected bacterial infection (The BATCH Trial; NIHR HTA; co-applicant)
  • 2014- Paediatric early warning system (PEWS): Utilisation and Mortality Avoidance. (The PUMA Study; NIHR HS&DR; co-applicant)
Postgraduate research supervision

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.

External roles
  • 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
Honours and awards

Professional memberships/affiliations

  • NIHR Research for Patient Benefit (RfPB) YNE panel member
  • Royal Statistical Society (RSS) member and Chartered Statistician (CStat)
  • International Biometrics Society (IBS) member