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Handling the effect of non-response in graphical models for longitudinal data
Authors:Riccardo Borgoni  Peter W F Smith  Ann M Berrington
Institution:(1) Department of Statistics, Faculty of Statistical Sciences, University of Milano-Bicocca, Via Bicocca degli Arcimboldi, 8, 20126 Milan, Italy;(2) Division of Social Statistics and Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, SO17 1BJ, UK
Abstract:In this paper we investigated the use of attrition weights to cope with non-response when selecting graphical chain models for longitudinal data. We proposed a parametric bootstrap approach to account for the extra variability introduced by the estimation of the weights and compared this with results using standard test procedures.
Keywords:Graphical chains  Weighting  MAR  Parametric bootstrap
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