Imperial College London

Dr Nathan Green

Faculty of MedicineSchool of Public Health

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5782nathan.green Website

 
 
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Location

 

UG 1147 Praed StreetSt Mary's Campus

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Summary

 

Summary

I am a Statistician and Mathematical Modeller Research Fellow in the Department of Infectious Disease Epidemiology. I am also involved with the Statistics, Modelling and Economics Department at Public Health England.

I have a number of years experience working on a wide range of projects across government and academia in defence and health.

I studied mathematics and statistics at the University of Newcastle-Upon-Tyne and obtained a PhD in applied probability from the University of Liverpool. After working for the Ministry of Defence for several years, applying novel Bayesian Inference ideas, I moved back into academia and the field of public health in 2010.




My general fields of interest include:

  • Operational research
  • Health economics
  • Survival analysis and multistate models
  • Epidemiology
  • Small area estimation

My current methodological interests include:

  • Care pathway analysis
  • Excess length of stay estimation
  • Cost-effectiveness
  • Multi-level modelling of spatio-temporal data, including aggregation of disparate sources
  • Discrete event simulation (DES)

 My current application areas include:

  • Tuberculosis (latent and active cases)
  • Healthcare-acquired infections
  • Sexually transmitted infections (principally Chlamydia)

Publications

Journals

Manalan K, Green N, Arnold A, et al., 2019, A cost comparison of amikacin therapy with bedaquiline, for drug-resistant tuberculosis in the UK., J Infect

Naylor N, Pouwels K, Hope R, et al., 2019, The health and cost burden of antibiotic resistant and susceptible Escherichia coli bacteraemia in the English hospital: a national retrospective cohort study, Plos One, Vol:14, ISSN:1932-6203, Pages:1-19

Green N, Sherrard-Smith E, Tanton C, et al., 2019, Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics, Scientific Reports, Vol:9, ISSN:2045-2322

Takwoingi Y, Whitworth H, Rees-Roberts M, et al., 2019, Interferon gamma release assays for diagnostic evaluation of active tuberculosis (IDEA): test accuracy study and economic evaluation, Health Technology Assessment, Vol:23, ISSN:1366-5278

Halliday A, Jain P, Hoang L, et al., Validation of new technologies for the diagnostic evaluation of active tuberculosis (VANTDET), Efficacy and Mechanism Evaluation, ISSN:2050-4365

More Publications