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http://hdl.handle.net/1942/358
Title: | Parametric models for incomplete continuous and categorical longitudinal studies data | Authors: | Kenward, Michael G. MOLENBERGHS, Geert |
Issue Date: | 1999 | Publisher: | ARNOLD | Source: | Statistical Methods in Medical Research, 8(1). p. 51-83 | Abstract: | This paper reviews models for incomplete continuous and categorical longitudinal data. In terms of Rubin's classification of missing value processes we are specifically concerned with the problem of nonrandom missingness. A distinction is drawn between the classes of selection and pattern-mixture models and, using several examples, these approaches are compared and contrasted. The central roles of identifiability and sensitivity are emphasized throughout. | Document URI: | http://hdl.handle.net/1942/358 | DOI: | 10.1177/096228029900800105 | ISI #: | 000083699900005 | Rights: | (C) Arnold 1999 | Type: | Journal Contribution | Validations: | ecoom 2000 |
Appears in Collections: | Research publications |
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kenward1999.pdf Restricted Access | Published version | 848.88 kB | Adobe PDF | View/Open Request a copy |
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