Dr Jamie Moore Research Fellow, University of Essex
- moorej@essex.ac.uk
- Telephone
- 4680
- Office
- 2N2.4.26
My name is Jamie Moore. I am a Research Fellow in Linked and Missing Data. I have previously held a similar role with Administrative Data Research Centre for England (ADRC-E) at the University of Southampton, and worked for the UK Office for National Statistics. I also hold a BSc Hons. in Biology (University of Southampton), and a PhD in evolutionary ecology (University of Leeds). My current research interests are in quantifying and adjusting for missing and mis-measured observations in survey and linked datasets. Given recent events, a particularly focus is on quantifying and adjusting for non-response in the UKHLS Covid-19 Study datasets.
Recent research outputs:
Benzeval, M. J., Burton, J., Crossley, T. F., Fisher, P., Gardiner, M., Jackle, A., & Moore, J.C. (2021) High frequency online data collection in an annual household panel study: some evidence on bias prevention and bias adjustment. Understanding Society Working Paper Series 2021-03.
Robertson, E., Reeve, K. S., Niedzwiedz, C. L., Moore, J., Blake, M., Green, M., Katikireddi, K. S., & Benzeval, M. J. (2021). Predictors of COVID-19 vaccine hesitancy in the UK Household Longitudinal Study. Behaviour, Brain and Immunity 94, 41-50. doi: 10.1016/j.bbi.2021.03.008.
Moore, J. C., Durrant, G. B., & Smith, P. W. F. (2021). Do coefficients of variation of response propensities approximate non‐response biases during survey data collection?. Journal of the Royal Statistical Society: Series A (Statistics in Society), 184(1), 301-323. doi:10.1111/rssa.12624
Moore, J. C., Durrant, G. B., & Smith, P. W. F. (2018). Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice. Journal of the Royal Statistical Society: Series A (Statistics in Society), 181(1), 229-248. doi:10.1111/rssa.12256
Moore, J. C., Smith, P. W. F., & Durrant, G. B. (2018). Correlates of record linkage and estimating risks of non-linkage biases in business data sets. Journal of the Royal Statistical Society: Series A (Statistics in Society), 181(4), 1211-1230. doi:10.1111/rssa.12342
Sturgis, P., Williams, J., Brunton-Smith, I., & Moore, J. (2017). Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes: A Multilevel Meta-analysis. Public Opinion Quarterly, 81(2), 523-542. doi:10.1093/poq/nfw055