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http://hdl.handle.net/1942/392
Title: | Selection models and pattern-mixture models to analyze longitudinal quality of life data subject to dropout | Authors: | MICHIELS, Bart MOLENBERGHS, Geert BIJNENS, Luc VANGENEUGDEN, Tony THIJS, Herbert |
Issue Date: | 2002 | Publisher: | JOHN WILEY | Source: | Statistics in Medicine, 21(8). p. 1023-1041 | Abstract: | Longitudinally observed quality of life data with large amounts of drop-out are analysed. First we used the selection modelling framework, frequently used with incomplete studies. An alternative method consists of using pattern-mixture models. These are also straightforward to implement, but result in a different set of parameters for the measurement and drop-out mechanisms. Since selection models and pattern-mixture models are based upon different factorizations of the joint distribution of measurement and drop-out mechanisms, comparing both models concerning, for example, treatment effect, is a useful form of a sensitivity analysis. | Keywords: | delta method; linear mixed model; missing data; repeated measures | Document URI: | http://hdl.handle.net/1942/392 | Link to publication/dataset: | https://lirias.kuleuven.be/bitstream/123456789/359934/3/93.pdf http://www.vetstat.ugent.be/workshop/Nairobi2004/Bijnens/MichielsBijnens.pdf |
ISSN: | 0277-6715 | e-ISSN: | 1097-0258 | DOI: | 10.1002/sim.1064 | ISI #: | 000174753000001 | Rights: | Copyright (C) 2002 John Wiley & Sons, Ltd. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2003 |
Appears in Collections: | Research publications |
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Michiels_et_al-2002-Statistics_in_Medicine.pdf Restricted Access | Published version | 159.44 kB | Adobe PDF | View/Open Request a copy |
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