Edmond Ng

MSc CSci CStat

Professional Services
- Senior Statistical Anlayst


Keppel Street
United Kingdom

+44 (0)20 7927 2101

Edmond is the Senior Statistical Analyst for the Global Burden of Disease Independent Advisory Committee (GBD IAC). He supports its Chair in strategic development and priority setting for the Committee. The GBD IAC, chaired by Peter Piot and managed at the LSHTM by Sarah Curran, is an independent committee of global experts who provides strategic guidance and feedback on the GBD methodology and results. He is currently a panel member of the Scientific Review Committee for The Health Improvement Network (THIN). Edmond is based in the Director's Office at the LSHTM.

He is a Chartered Statistician with multifaceted professional interests and experience working in academia as well as different governmental settings in Hong Kong and the UK. Previously he was part of the experimental Sand and Bricks Theatre group in Hong Kong and later joined the now defunct UK Film Council as Senior Research Executive to conduct film policy research. While he was at the Chinese University of Hong Kong, he was a statistician to support ophthalmic and musculoskeletal researches at the university.

He first joined the LSHTM in 2000 and was a Lecturer in Medical Statistics conducting researches in statistical methodology and health economics. Since then he had also worked at the Centre for Multilevel Modelling of the Institute of Education in London in statistical software development, Clinical Research Practice Datalink (CPRD) of The Medicines and Healthcare products Regulatory Agency (MHRA) as a Research Statistician in pharmacoepidemiology, and Director of Biostatistics, Real World Evidence Solutions, QuintilesIMS.


Executive Office


Edmond's current research interests include statistical methods for global disease burden metrics, animation of health data, and statistical computing (author of the prototype graphic user interface (GUI) of the advanced multilevel modelling software REALCOM and two user-contributed Stata commands, tsb and tsbceprob).

Visit his health data blog: 

Other publications: 

Ng ESW (2005) A review of mixed-effects models in S-plus (version 6.2)

UK Film Council Statistical Yearbook 2006/72008, and 2009

Research Area
Statistical methods
Global Health

Selected Publications

A cluster-randomized trial to reduce caesarean delivery rates in Quebec: cost-effectiveness analysis.
Johri, M. ; Ng, E.S.W. ; Bermudez-Tamayo, C. ; Hoch, J.S. ; Ducruet, T. ; Chaillet, N. ;
The path to longer and healthier lives for all Africans by 2030: the Lancet Commission on the future of health in sub-Saharan Africa.
Agyepong, I.A. ; Sewankambo, N. ; Binagwaho, A. ; Coll-Seck, A.M. ; Corrah, T. ; Ezeh, A. ; Fekadu, A. ; Kilonzo, N. ; Lamptey, P. ; Masiye, F. ; Mayosi, B. ; Mboup, S. ; Muyembe, J.J. ; Pate, M. ; Sidibe, M. ; Simons, B. ; Tlou, S. ; Gheorghe, A. ; Legido-Quigley, H. ; McManus, J. ; Ng, E. ; O'Leary, M. ; Enoch, J. ; Kassebaum, N. ; Piot, P. ;
Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice.
Ng, E.S.; Diaz-Ordaz, K.; Grieve, R.; Nixon, R.M.; Thompson, S.G.; Carpenter, J.R.;
Stat Methods Med Res
Two-stage nonparametric bootstrap sampling with shrinkage correction for clustered data
Ng, E. S. W.; Grieve, R.; Carpenter, J. R.
Stata Journal
MSE<Variance? A pitfall in calculating the mean square error.
Ng, E.S.W;
Model Assisted Statistics and Applications
Estimation in generalised linear mixed models with binary outcomes by simulated maximum likelihood
Ng, E.S.W.; Carpenter, J.R.; Goldstein, H.; Rasbash, J.
Statistical Modelling
See all Edmond Ng's Publications