Modelling ordinal recurrent events.

Berridge, Damon M. (1995) Modelling ordinal recurrent events. Journal of Statistical Planning and Inference, 47 (1-2). pp. 71-78. ISSN 0378-3758

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Statistical Planning and Inference
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa
Subjects:
?? CONTINUATION RATIOORDINAL RECURRENT EVENTSNORMAL RANDOM EFFECTSRESIDUAL HETEROGENEITYAPPLIED MATHEMATICSSTATISTICS AND PROBABILITYSTATISTICS, PROBABILITY AND UNCERTAINTYQA MATHEMATICS ??
ID Code:
19667
Deposited By:
Deposited On:
10 Nov 2008 16:36
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2023 00:22