Professor Li-Chun Zhang Dr. Scient.

Professor of Social Statistics

Professor Li-Chun Zhang is Professor of Social Statistics within 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

S3RI Management Group
Associate Editor of Journal of Official Statistics

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Articles

Books

Zhang, L-C., & Chambers, R. L. (Eds.) (2019). Analysis of integrated data. (1 ed.) (Statistics in Social and Behavioral Sciences Series). Boca Raton: CRC Press.
Lorenc, B., Smith, P. A., Bavdaž, M., Haraldsen, G., Nedyalkova, D., Zhang, L-C., & Zimmermann, T. (Eds.) (2018). The unit problem and other current topics in business survey methodology: Edited Proceedings of the European Establishment Statistics Workshop 2017. Newcastle upon Tyne: Cambridge Scholars Publishing.

Book Chapters

Di Consiglio, L., Tuoto, T., & Zhang, L-C. (2019). Capture-recapture methods in the presence of linkage errors. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 39-72). (Statistics in the Social and Behavioral Sciences Series). Boca Raton: CRC Press.
Zhang, L-C. (2019). Log-linear models of erroneous list data. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 197-218). (Statistics in the Social and Behavioral Sciences). Boca Raton: CRC Press.
Zhang, L-C., & Chambers, R. L. (2019). Minimal Inference from incomplete 2x2-tables. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 121-136). (Statistics in the Social and Behavioral Sciences). Boca Raton: CRC Press.
Zhang, L-C. (2019). On secondary analysis of datasets that cannot be linked without errors. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 13-38). (Statistics in the Social and Behavioral Sciences). Boca Raton: CRC Press.
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. DOI: 10.4324/9781315151939
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

Facsimile: (023) 8059 5763

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