Kenward, M.G. (1998) Selection models for repeated measurements with non-random dropout: An illustration of sensitivity. Statistics in Medicine, 17 (23). pp. 2723-2732. ISSN 0277-6715.
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| Official URL http://dx.doi.org/10.1002/(SICI)1097-0258(19981215... |
Abstract
The outcome-based selection model of Diggle and Kenward for repeated measurements with non-random dropout is applied to a very simple example concerning the occurrence of mastitis in dairy cows, in which the occurrence of mastitis can be modelled as a dropout process. It is shown through sensitivity analysis how the conclusions concerning the dropout mechanism depend crucially on untestable distributional assumptions. This example is exceptional in that from a simple plot of the data two outlying observations can be identified that are the source of the apparent evidence for non-random dropout and also provide an explanation of the behaviour of the sensitivity analysis. It is concluded that a plausible model for the data does not require the assumption of non-random dropout.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science Q Science > QA Mathematics (inc Computing science) |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science |
| Depositing User: | M.A. Ziai |
| Date Deposited: | 04 Apr 2009 22:39 |
| Last Modified: | 04 Apr 2009 22:39 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/17395 (The current URI for this page, for reference purposes) |
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