Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/453
Title: Strategies to Fit Pattern-Mixture Models
Authors: MOLENBERGHS, Geert 
THIJS, Herbert 
MICHIELS, Bart 
VERBEKE, Geert 
Curran, Desmond
Issue Date: 2000
Source: Nunez-Anton, V. & Ferreira, E. (Ed.) Statistical Modelling. Proceedings of the 15th International Workshop on Statistical Modelling. New Trends in Statistical Modelling. p. 242-247.
Abstract: Whereas most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years. In this chapter, we outline several strategies to fit pattern-mixture models, including the so-called identifying-restrictions strategy. Multiple imputation is used to apply this strategy to realistic settings, such as quality-of-life data from a longitudinal study on metastatic breast cancer patients.
Keywords: delta method; linear mixed model; missing data; repeated measures
Document URI: http://hdl.handle.net/1942/453
ISBN: 8475852173
Category: C2
Type: Proceedings Paper
Appears in Collections:Research publications

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