Statistical methods for attrition and non-response in social surveys

Friday 28 May 2004

Listed below are the presentations given on 28 May. Links to papers are available from the Programme page.

Presentations

The long-term effectiveness of procedures for minimising attrition on longitudinal surveys

Jon Burton, Heather Laurie and Peter Lynn, UK Longitudinal Studies Centre, ISER, University of Essex

Using Data Augmentation to Correct for Nonignorable Nonresponse when Surrogate Data are Available: An Application to the Distribution of Hourly Pay

Gabriele Beissel-Durrant and Chris Skinner, Statistical Social Sciences Research Centre, University of Southampton

Modelling Attrition in the National Child Development Study

Denise Hawkes and Ian Plewis, Bedford Group for Lifecourse and Statistical Studies, Institute of Education, University of London

Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures

Riccardo Borgoni and Ann Berrington, Southampton Statistical Sciences Research Institute, University of Southampton

Modelling low pay transitions: the role of employment dynamics and panel attrition

Lorenzo Cappellari, Università del Piemonte Orientale and Stephen P. Jenkins, University of Essex

Adjusting for non-ignorable non-response: Application to Gulf War Study

A. M. Wood and I. R. White, MRC Biostatistics Unit, Cambridge and M. Hotopf, GKT School of Medicine & Institute of Psychiatry, London

Emigration Bias in Identifying Reproducers in an Intergenerational Study: an example of simple sensitivity analyses

S. M. B. Morton, B. L. De Stavola, D. Nitsch and D. A. Leon, London School of Hygiene and Tropical Medicine

Health-related attrition in the BHPS: using inverse probability weighted estimators in nonlinear models

Andrew M. Jones and Nigel Rice, University of York