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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/465

Title: Strategies to Fit Pattern-Mixture Models
Authors: Molenberghs, Geert
Thijs, Herbert
Michiels, Bart
Verbeke, Geert
Curran, Desmond
Keywords: Missing data
Longitudinal data
Issue Date: 2000
Publisher: Leske + Budrich
Citation: Blasius, Jörg; Hox, Joop; de Leeuw, Edith; Schmidt, Peter (Ed.). Social Science Methodology in the New Millennium, Updated and Extended Proceedings of the Fifth International Conference on Logic and Methodology. p. 1-25.
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.
URI: http://hdl.handle.net/1942/465
ISBN: 9783810033161
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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