Edmond Ng

MSc 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. Edmond is based in the Director's Office at the LSHTM.

He is a panel member of the Scientific Review Committee for The Health Improvement Network (THIN), a member of the European Burden of Disease Network (EBoDN), and a co-guest editor of a new Research Topic by Frontiers in Public Health "Building Back Progress towards Meeting Sustainable Development Goal 3 by 2030: Applications of AI and Digital Solutions". 

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. He worked as a Senior Research Executive at the now defunct UK Film Council 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 an assistant professor 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, and Clinical Research Practice Datalink (CPRD) of The Medicines and Healthcare products Regulatory Agency (MHRA) as a Research Statistician in pharmacoepidemiology.


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: 

Listen to his LSHTM podcast discussing Covid-19-related xenophobia and its impact on the Chinese and East Asian communities in the UK.   


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

Selected Publications

The Pandemic of Hate is Giving COVID-19 a Helping Hand.
Ng E
The American Journal of Tropical Medicine and Hygiene
Intraclass Correlation Coefficient in Clinical Trials
Ng ESW; Zou L
Wiley StatsRef: Statistics Reference Online
Immunization: vital progress, unfinished agenda.
Piot P; Larson HJ; O'Brien KL; N'kengasong J; Ng E; Sow S; Kampmann B
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 IA; Sewankambo N; Binagwaho A; Coll-Seck AM; Corrah T; Ezeh A; Fekadu A; Kilonzo N; Lamptey P; Masiye F
A cluster-randomized trial to reduce caesarean delivery rates in Quebec: cost-effectiveness analysis.
Johri M; Ng ESW; Bermudez-Tamayo C; Hoch JS; Ducruet T; Chaillet N
BMC medicine
Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice.
Ng ES-W; Diaz-Ordaz K; Grieve R; Nixon RM; Thompson SG; Carpenter JR
Statistical methods in medical research
Estimation in generalised linear mixed models with binary outcomes by simulated maximum likelihood
Ng ESW; Carpenter JR; Goldstein H; Rasbash J
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