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Research project

Tzavidis - Innovations in Small Area Estimation Methodologies

Staff

Lead researchers

Professor Nikos Tzavidis PhD

Professor of Statistical Methodology

Research interests

  • Small Area Estimation and official statistics
  • Outlier robust inference; Quantile and M-quantile models
  • Geospatial data; Poverty mapping; Statistical inference under data aggregation and displacement
Connect with Nikos

Email: [email protected]

Other researchers

Dr Yves Berger

Associate Professor
Connect with Yves

Email: [email protected]

Professor Li-Chun Zhang

Professor in Social Statistics

Research interests

  • Graph sampling
  • Analysis of integrated data
  • Statistical uses of administrative sources
Connect with Li-Chun

Email: [email protected]

Research outputs

Developing and applying geographical synthetic estimates of health literacy in GP clinical systems
Gill Rowlands, David Whitney & Graham Moon, 2018, International Journal of Environmental Research and Public Health, 15(8), 1-9
DOI: 10.3390/ijerph15081709
Type: article
Preface to the papers on ‘Small area estimation’
Nikolaos Tzavidis, Li-Chun Zhang, Danny Pfeffermann & Partha Lahiri, 2017, Journal of the Royal Statistical Society. Series A: Statistics in Society, 180(4), 1035-1037
DOI: 10.1111/rssa.12331
Type: article
Integrating national surveys to estimate small area variations in poor health and limiting long term illness in Great Britain
Graham Moon, Grant Aitken, Joanna Taylor & Liz Twigg, 2017, BMJ Open
DOI: 10.1136/bmjopen-2017-016936
Type: article
Estimating uncertainty in spatial microsimulation approaches to small area estimation: a new approach to solving an old problem
A. Whitworth, E. Carter, D. Ballas & G. Moon, 2017, Computers, Environment and Urban Systems, 63, 50-57
DOI: 10.1016/j.compenvurbsys.2016.06.004
Type: article
The spatial structure of chronic morbidity
Peter Dutey-Magni & Graham Moon, 2016, International Journal of Health Geographics, 15(30), 1-19
DOI: 10.1186/s12942-016-0057-5
Type: article