Fitting statistical models to complex survey data workshop Event
- Date:
- 10 March 2011
- Venue:
- Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX. Telephone: +44 (0)20 7638 8998 The RSS headquarters is located near the Barbican Centre, in a converted Victorian school. The nearest tube stations are Moorgate, Old Street, Liverpool Street and Barbican. The venue is served by the following bus routes; 21, 43, 55, 76, 133, 135, 141, 153, 205, 214, 243, and 271.
For more information regarding this event, please email Mrs Jane Revell at j.revell@southampton.ac.uk .
Event details
Workshop
Motivation
Survey data are frequently analysed for making inference on statistical models assumed to hold for the corresponding population. However, complex survey data are typically hard to handle because of three main reasons: 1- the data are often clustered due to the use of multi-stage stratified cluster samples or longitudinal survey designs, implying that observations within the same cluster (repeated observations for the same unit) are correlated; 2- sample units are often selected with unequal probabilities; when these probabilities are related to the outcome variable, the sampling becomes informative and the model holding for the sample is then different from the model holding in the population; 3- survey data are almost inevitably subject to nonresponse, often of considerable magnitude, which again may affect the model holding for the responding units if the response propensity is correlated with the outcome (not missing at random nonresponse).
Several approaches have been proposed for modelling and analysing complex survey data. These approaches differ in the conditions underlying their use, data requirements, the inference objectives that they accommodate, statistical efficiency, computational demands and the skills required for their implementation. This heterogeneity means that no single approach can be considered as best, or even operational, in all situations.
Overview
The workshop aims to bring together sample survey experts and quantitative social scientists to discuss their data sets and research problems, and how they are currently analysed. Participants are encouraged to contribute to the discussion by describing an interesting data set and the analysis that they have performed, and commenting on problems they have encountered. In addition, there will be three sessions discussing key features of some of the available approaches for modelling complex survey data.
The workshop is designed to foster interaction between practitioners and statistical experts in the analysis of complex survey data, by which participants can get advice on the suitability of different approaches for their intended analysis, and the statistical experts can get feedback on what is the ’current practice’ regarding the analysis of complex survey data within the UK quantitative social science community, including information on issues and barriers for successful analysis of such data.
Registration
Please note that the workshop is free of charge and is limited to 40 places on a first come first served basis.