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Guangquan Li
Guangquan Li
Senior Lecturer in Statistics, Northumbria University
Verified email at northumbria.ac.uk - Homepage
Title
Cited by
Cited by
Year
Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble
V Kontis, JE Bennett, CD Mathers, G Li, K Foreman, M Ezzati
The Lancet 389 (10076), 1323-1335, 2017
10212017
Trends and mortality effects of vitamin A deficiency in children in 138 low-income and middleincome countries between 1991 and 2013: A pooled analysis of population-based …
GA Stevens, JE Bennett, Q Hennocq, Y Lu, LM De-Regil, L Rogers, ...
Google Scholar, 2016
431*2016
Trends and mortality effects of vitamin A deficiency in children in 138 low-income and middle-income countries between 1991 and 2013: a pooled analysis of population-based surveys
GA Stevens, JE Bennett, Q Hennocq, Y Lu, LM De-Regil, L Rogers, ...
The Lancet Global Health 3 (9), e528-e536, 2015
4312015
The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting
JE Bennett, G Li, K Foreman, N Best, V Kontis, C Pearson, P Hambly, ...
The Lancet 386 (9989), 163-170, 2015
1432015
Space–time variability in burglary risk: a Bayesian spatio-temporal modelling approach
G Li, R Haining, S Richardson, N Best
Spatial Statistics 9, 180-191, 2014
962014
A stochastic carcinogenesis model incorporating multiple types of genomic instability fitted to colon cancer data (vol 254, pg 229, 2008)
MP Little, P Vineis, G Li
JOURNAL OF THEORETICAL BIOLOGY 255 (2), 268-268, 2008
55*2008
A stochastic carcinogenesis model incorporating multiple types of genomic instability fitted to colon cancer data
MP Little, P Vineis, G Li
Journal of theoretical biology 254 (2), 229-238, 2008
552008
A stochastic carcinogenesis model incorporating multiple types of genomic instability fitted to colon cancer data
MP Little, P Vineis, G Li
Journal of theoretical biology 254 (2), 229-238, 2008
552008
Parameter identifiability and redundancy: theoretical considerations
MP Little, WF Heidenreich, G Li
PloS one 5 (1), e8915, 2010
542010
BaySTDetect: detecting unusual temporal patterns in small area data via Bayesian model choice
G Li, N Best, AL Hansell, I Ahmed, S Richardson
Biostatistics 13 (4), 695-710, 2012
532012
Stochastic modelling of colon cancer: is there a role for genomic instability?
MP Little, G Li
Carcinogenesis 28 (2), 479-487, 2007
502007
Crime-general and crime-specific spatial patterns: A multivariate spatial analysis of four crime types at the small-area scale
M Quick, G Li, I Brunton-Smith
Journal of Criminal Justice 58, 22-32, 2018
422018
Time-varying relationships between land use and crime: A spatio-temporal analysis of small-area seasonal property crime trends
M Quick, J Law, G Li
Environment and Planning B: Urban Analytics and City Science, 2399808317744779, 2017
342017
Bayesian statistics small area estimation
V Gómez-Rubio, N Best, S Richardson, G Li, P Clarke
Imperial College London, 2010
322010
Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data
R Haining, G Li, R Maheswaran, M Blangiardo, J Law, N Best, ...
Spatial and Spatio-temporal Epidemiology 1 (2-3), 123-131, 2010
282010
The ecology of outdoor rape: The case of Stockholm, Sweden
V Ceccato, G Li, R Haining
European Journal of Criminology, 1477370818770842, 2018
272018
Analysis of retinoblastoma age incidence data using a fully stochastic cancer model
MP Little, RA Kleinerman, CA Stiller, G Li, ME Kroll, MFG Murphy
International journal of cancer 130 (3), 631-640, 2012
262012
Parameter identifiability and redundancy in a general class of stochastic carcinogenesis models
MP Little, WF Heidenreich, G Li
PLoS One 4 (12), e8520, 2009
262009
Evaluating the No Cold Calling zones in Peterborough, England: application of a novel statistical method for evaluating neighbourhood policing policies
G Li, R Haining, S Richardson, N Best
Environment and Planning A 45 (8), 2012-2026, 2013
182013
Life expectancy and risk of death in 6791 communities in England from 2002 to 2019: high-resolution spatiotemporal analysis of civil registration data
T Rashid, JE Bennett, CJ Paciorek, Y Doyle, J Pearson-Stuttard, ...
The Lancet Public Health 6 (11), e805-e816, 2021
152021
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