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Dr Chao Huang

Senior Lecturer in Statistics

Faculty and Department

  • Faculty of Health Sciences
  • Hull York Medical School

Qualifications

  • PhD (University of Manchester)

Summary

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.

Recent outputs

View more outputs

Journal Article

A prospective registry-based cohort study of the diagnosis and management of acute leukaemia in pregnancy: Study protocol

Northgraves, M., Allsup, D., Cohen, J., Huang, C., Turgoose, J., & Ali, S. (2022). A prospective registry-based cohort study of the diagnosis and management of acute leukaemia in pregnancy: Study protocol. PLoS ONE, 17(2), Article e0263195. https://doi.org/10.1371/journal.pone.0263195

A prospective registry-based cohort study of the diagnosis and management of acute leukaemia in pregnancy: Study protocol

Northgraves, M., Allsup, D., Cohen, J., Huang, C., Turgoose, J., & Ali, S. (2022). A prospective registry-based cohort study of the diagnosis and management of acute leukaemia in pregnancy: Study protocol. PLoS ONE, 17(2), Article e0263195. https://doi.org/10.1371/journal.pone.0263195

Biomarker-guided duration of Antibiotic Treatment in Children Hospitalised with confirmed or suspected bacterial infection (BATCH): Protocol for a randomised controlled trial

Waldron, C., Thomas-Jones, E., Bernatoniene, J., Brookes-Howell, L., Faust, S. N., Harris, D., …Carrol, E. D. (2022). Biomarker-guided duration of Antibiotic Treatment in Children Hospitalised with confirmed or suspected bacterial infection (BATCH): Protocol for a randomised controlled trial. BMJ open, 12(1), Article e047490. https://doi.org/10.1136/bmjopen-2020-047490

Development, implementation and evaluation of an early warning system improvement programme for children in hospital: the PUMA mixed-methods study

Allen, D., Lloyd, A., Edwards, D., Grant, A., Hood, K., Huang, C., …Roland, D. (2022). Development, implementation and evaluation of an early warning system improvement programme for children in hospital: the PUMA mixed-methods study. Health and Social Care Delivery Research, 10(1), 307. https://doi.org/10.3310/CHCK4556

Development, implementation and evaluation of an evidence-based paediatric early warning system improvement programme: the PUMA mixed methods study

Allen, D., Lloyd, A., Edwards, D., Hood, K., Huang, C., Hughes, J., …Roland, D. (2022). Development, implementation and evaluation of an evidence-based paediatric early warning system improvement programme: the PUMA mixed methods study. BMC health services research, 22(1), Article 9. https://doi.org/10.1186/s12913-021-07314-2

Research interests

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.

Project

Funder

Grant

Started

Status

Project

BATCH: Biomarker-guided duration of Antibiotic Treatment in Children Hospitalised with confirmed or suspected bacterial infection

Funder

NIHR National Institute for Health Research

Grant

£6,778.00

Started

1 September 2017

Status

Complete

Project

PUMA: Paediatric early warning system (PEWS): Utilisation and Mortality Avoidance. A prospective, mixed methods, before and after study identifying the evidence base for the core components of an effective PEWS and the development of an implementation package for implementation and use in the UK

Funder

NIHR National Institute for Health Research

Grant

£2,022.00

Started

1 October 2017

Status

Complete

Postgraduate 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.

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).

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