Berridge, Damon M. (1995) Modelling ordinal recurrent events. Journal of Statistical Planning and Inference, 47 (1-2). pp. 71-78. ISSN 0378-3758Full text not available from this repository.
An ordinal outcome is one which comprises a range of categories that are inherently ordered in some sense. An example of such an outcome is degree of supervision required (from ‘not at all’ to ‘very closely’) in the current job of an individual. In addition, an individual's outcome may be recorded repeatedly over time. For example, information may be available on the level of supervision required in each and every job in which an individual had been employed. These ordinal outcomes, measured repeatedly over time, are defined to be ordinal recurrent events. The early stages of a project seeking to develop and implement statistical models for these ordinal recurrent events will be described. Suggestions for future progress of the project, including possible solutions to problems already anticipated, will be discussed.
|Journal or Publication Title:||Journal of Statistical Planning and Inference|
|Uncontrolled Keywords:||Continuation ratio ; Ordinal recurrent events ; Normal random effects ; Residual heterogeneity|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||10 Nov 2008 16:36|
|Last Modified:||01 Jan 2017 01:28|
Actions (login required)