Phone:: (023) 8059 2533
Email:: L.Zhang@soton.ac.uk

Professor Li-Chun Zhang Dr. Scient.

Professor of Social Statistics

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Professor Li-Chun Zhang is Professor of Social Statistics within Social Sciences: Social Statistics & Demography at the University of Southampton.

I joined Statistics Norway as a Researcher in 1997 after I obtained my Dr. Scient. in Statistics. I became a Senior Researcher (professor equivalent) in 2006. I came to University of Southampton in 2012, but I still maintain a part-time position at Statistics Norway.

Research

Responsibilities

Publications

Contact

Research interests

Data integration
Statistical uses of administrative sources
Survey sampling
Sample coordination
Estimation and imputation
Treatment of non-sampling errors, Small area estimation
Price index
Statistical data editing
Statistical modelling

2010 - 2012: BLUE-ETS (SSH-CT-2010-24467), EU's 7th framework project on Enterprise and Trade Statistics. Germany, Italy, Netherland, Norway, Slovakia, Slovenia Sweden and UK.
2010 - 2011: ESSnet Small Area Estimation. Consortium: France, Germany, Italy, Netherland, Norway, Poland, Spain, Switzerland and UK.
2010 - 2011: ESSnet Data Integration. Consortium: Italy, Netherland, Norway, Poland, Spain and Switzerland.
2008 - 2010: RISQ (SSH-2007-6.3-01, Reference no. 216036), EU's 7th framework project on Representativity Indicators for Survey Quality. Consortium: Belgium, Netherland, Norway, Slovenia and UK.
2001 - 2003: EURAREA (IST 2000-26290), EU's 5th framework project on small area estimation. Consortium: Finland, Italy, Norway, Poland, Spain, Sweden and UK.
2001 - 2003: DACSEIS (IST 2000-26057), EU's 5th framework project on variance estimation for complex surveys. Consortium: Austria, Finland, Germany, Netherlands, Norway, Switzerland and UK.

Research group

Administrative Data Research Centre for England

S3RI Management Group
Associate Editor of Journal of Official Statistics

Articles

Tzavidis, N., Zhang, L-C., Luna Hernandez, A., Schmid, T., & Rojas-Perilla, N. (2018). From start to finish: a framework for the production of small area official statistics. Journal of the Royal Statistical Society A.

Alaamri, A. K., Padmadas, S., Zhang, L., & Al-Maniri, A. (2017). Disentangling age–gender interactions associated with risks of fatal and non-fatal road traffic injuries in the Sultanate of Oman. BMJ Global Health, 2(e000394), 1-13. DOI: 10.1136/bmjgh-2017-000394

Zhang, L-C., & Patone, M. (2017). Graph sampling. Metron. DOI: 10.1007/s40300-017-0126-y

Gilbert, R., Lafferty, R., Hagger-Johnson, G., Harron, K., Zhang, L-C., Smith, P., ... Goldstein, H. (2017). GUILD: GUidance for Information about Linking Data sets. Journal of Public Health. DOI: 10.1093/pubmed/fdx037

Lai, S., Li, Z., Wardrop, N. A., Sun, J., Head, M. G., Huang, Z., ... Yu, H. (2017). Malaria in China 2011-2015: an observational study. Bulletin of the World Health Organization, 95(8), 545-608. DOI: 10.2471/BLT.17.191668

Tzavidis, N., Zhang, L-C., Pfeffermann, D., & Lahiri, P. (2017). Preface to the papers on ‘Small area estimation’. Journal of the Royal Statistical Society A, 180(4), 1035-1037. DOI: 10.1111/rssa.12331

Ioannidis, E., Merkouris, T., Zhang, L-C., Karlberg, M., Petrakos, M., Reis, F., & Stavropoulos, P. (2016). On a modular approach to the design of integrated social surveys. Journal of Official Statistics, 32(2), 259-286. DOI: 10.1515/JOS-2016-0013

Zhang, L-C. (2015). On modelling register coverage errors. Journal of Official Statistics, 31(3), 381-396. DOI: 10.1515/jos-2015-0023

Zhang, L-C. (2015). On proxy variables and categorical data fusion. Journal of Official Statistics, 31(4), 783-807. DOI: 10.1515/jos-2015-0045

Zhang, L-C., & Pannekoek, J. (2015). Optimal adjustments for inconsistency in imputed data. Survey Methodology, 41(1), 127-144.

Luna Hernandez, A., Zhang, L-C., Whitworth, A., & Piller, K. (2015). Small area estimates of the population distribution by ethnic group in England: a proposal using structure preserving estimators. Statistics in Transition, 16(4), 585-602.

Zhang, L-C., Thomsen, I., & Kleven, O. (2013). On the use of auxiliary and paradata for dealing with non-sampling errors in household surveys. International Statistical Review, 81(2), 270-288. DOI: 10.1111/insr.12009

Zhang, L-C., & Fosen, J. (2012). A modeling approach for uncertainty assessment of register-based small area statistics. Journal of the Indian Society of Agricultural Statistics, 66, 91-104.

Zhang, L-C. (2012). Topics of statistical theory for register-based statistics and data integration. Statistica Neerlandica, 66(1), 41-63. DOI: 10.1111/j.1467-9574.2011.00508.x

Zhang, L-C., & Hagesaether, N. (2011). A domain outlier robust design and smooth estimation approach. Canadian Journal of Statistics, 39(1), 147-164. DOI: 10.1002/cjs.10095

Zhang, L-C. (2011). A unit-error theory for register-based household statistics. Journal of Official Statistics, 27(3), 415-432.

Hagesæther, N., & Zhang, L-C. (2009). A note on the effect of auxiliary information on the variance of cluster sampling. Journal of Official Statistics, 25(3), 397-404.

Zhang, L-C. (2009). Estimates for small area compositions subjected to informative missing data. Survey Methodology, 35(2), 191-201.

Zhang, L-C. (2008). On some common practices of systematic sampling. Journal of Official Statistics, 24(4), 557-569.

Zhang, L-C. (2007). Finite population small area interval estimation. Journal of Official Statistics, 23(2), 223-237.

Zhang, L., & Aaberge, R. (2005). A class of exact UMP unbiased tests for conditional symmetry in small-sample square contingency tables. Journal of Applied Statistics, 32(4), 333-340. DOI: 10.1080/02664760500078953

Zhang, L-C. (2005). On the bias in gross labour flow estimates due to nonresponse and misclassification. Journal of Official Statistics, 21(4), 591-604.

Zhang, L-C. (2004). Nonparametric Markov chain bootstrap for multiple imputation. Computational Statistics & Data Analysis, 45(2), 343-353. DOI: 10.1016/S0167-9473(02)00300-6

Zhang, L-C., & Chambers, R. L. (2004). Small area estimates for cross-classifications. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66(2), 479-496. DOI: 10.1111/j.1369-7412.2004.05266.x

Zhang, L-C. (2003). Simultaneous estimation of the mean of a binary variable from a large number of small areas. Journal of Official Statistics, 19(3), 253-263.

Thomsen, I., & Zhang, L-C. (2001). The effects of using administrative registers in economic short term statistics: the Norwegian labour force survey as a case study. Journal of Official Statistics, 17(2), 285-294.

Zhang, L-C. (2000). Post-stratification and calibration: a synthesis. The American Statistician, 54(3), 178-184. DOI: 10.1080/00031305.2000.10474542

Zhang, L-C. (1999). A note on post-stratification when analyzing binary survey data subject to nonresponse. Journal of Official Statistics, 15(2), 329-334.

Zhang, L-C., & Bredrup, E. (1998). Imperfectly shuffled decks in bridge. Journal of Applied Statistics, 25(2), 173-179. DOI: 10.1080/02664769823160

Zhang, L-C. (1998). Likelihood imputation. Scandinavian Journal of Statistics, 25(2), 401-414. DOI: 10.1111/1467-9469.00112

Book Chapters

Zhang, L., & Dunne, J. (2017). Trimmed dual system estimation. In D. Bohning, P. G. M. van der Heijden, & J. Bunge (Eds.), Capture Recapture Methods for the Social and Medical Sciences (pp. 239-259). (Chapman & Hall/CRC Interdisciplinary Statistics). CRC Press.

Zhang, L-C. (2010). A model-based approach to variance estimation for fixed-weights and chained price indices. In M. Carlson, H. Nyquist, & M. Villani (Eds.), Official Statistics: Methodology and Applications in Honour of Daniel Thorburn (pp. 149-166). Stockholm, SE: Stockholm University; Statistics Sweden.

Professor Li-Chun Zhang
Social Statistics & Demography Social Sciences University of Southampton Southampton SO17 1BJ United Kingdom

Room Number:58/4005

Telephone:(023) 8059 2533
Facsimile:(023) 8059 5763
Email:L.Zhang@soton.ac.uk

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