For more information about our research in social statistics please follow these links:
People - academic staff, research staff and research students
Research in social statistics
Cross-national survey: methods of design and analysis
This one day workshop, organised by Jouni Kuha, takes place at LSE on Monday 15 December 2014. Please see the workshop website here for full details.
ESRC future research leaders fellowship
We are delighted to announce that Dr Myrsini Katsikatsou has been awarded an ESRC future research leaders fellowship (ES/L009838/1). The research project, "Methods of analysis and inference for social survey data within the framework of latent variable modelling and pairwise likelihood", will start on 1 October 2014.
Methods of longitudinal data analysis in the social sciences
This one-day conference, organised by Fiona Steele (LSE) and Paul Clarke (University of Essex), takes place at LSE on Monday 8 September 2014, followed by an evening buffet reception.
Please see the conference website here for full details, including the registration instructions.
Themed edition of the Journal of the Royal Statistical Society: Series C (Applied Statistics)
Dr Jouni Kuha and Professor Irini Moustaki have collaborated as guest associate editors to produce a special themed edition of the Journal of the Royal Statistical Society: Series C (Applied Statistics), volume 63 (2), pages 191-360, February 2014. Originating in a two-day conference on social statistics at the LSE in December 2011, organised by Professor Moustaki to honour the scientific contributions of Professor Emeritus David J Bartholomew, the papers in this edition represent a wider range of styles than is usual for the journal.
Honorary doctorate appointed to Professor Irini Moustaki
Professor Irini Moustaki has been appointed honorary Doctor by Uppsala University, at the Faculty of Social Sciences. The conferment ceremony and festival banquet will take place on 24 January 2014.
Professor Moustaki's paper Pairwise likelihood estimation for factor analysis models with ordinal data, co-authored with Myrsini Katsikatsou (LSE), Fan Yang-Wallentin (Uppsala) and Karl G Jöreskog (Uppsala), is published by Computational statistics and data analysis, 56 (12), pp. 4243-4258, ISSN 0167-9473.
Social statistics workshop, December 2013
This year's Social Statistics workshop, Recent advances in the analysis of categorical and count data, took place on Thursday 12 December 2013.
Ardo van den Hout (UCL)
Joint models for discrete longitudinal outcomes in ageing research
Maria Kateri (RWTH Aachen University)
Generalised odds ratio structures in ordinal response analysis
(Slides not available)
Peter W F Smith (University of Southampton)
Statistical modelling of population processes
J K (Jeroen) Vermunt (Tilburg University)
Multilevel latent Markov modelling in continuous time with an application to the analysis of ambulatory mood assessment data
Further information about the workshop can be viewed here.
The future of the census
Professor Chris Skinner has led an independent review of the methodology underlying the options for the future of the Census, on behalf of the Office for National Statistics (ONS).
A Census has taken place in Great Britain since 1801. Options set out in a recent public consultation by the ONS could lead to a radical departure in England and Wales from the traditional approach that has obtained information on all individuals every 10 years until 2011.
In a report published on 1 November 2013 Professor Skinner and his team, which included Michael Murphy, Professor of Demography at LSE, and demographic consultant John Hollis, explain that although results of ONS research to date are promising, the case for replacement of the traditional census model by the more radical option - combining administrative data with compulsory annual surveys - had not yet been established.
They conclude that a number of methodological challenges that had been identified would need first to be addressed if this option is to be pursued.
The team’s full report can be found on the ONS website. An associated statement from the Royal Statistical Society can be found here.
Dealing with the data deluge
The Winter 2012 edition of LSE's alumni magazine LSE Connect features an article by Professor Chris Skinner on Dealing with the data deluge. You can read the article here.