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Modelling ordinal recurrent events.

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Modelling ordinal recurrent events. / Berridge, Damon M.
In: Journal of Statistical Planning and Inference, Vol. 47, No. 1-2, 01.10.1995, p. 71-78.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Berridge, DM 1995, 'Modelling ordinal recurrent events.', Journal of Statistical Planning and Inference, vol. 47, no. 1-2, pp. 71-78. https://doi.org/10.1016/0378-3758(94)00122-C

APA

Berridge, D. M. (1995). Modelling ordinal recurrent events. Journal of Statistical Planning and Inference, 47(1-2), 71-78. https://doi.org/10.1016/0378-3758(94)00122-C

Vancouver

Berridge DM. Modelling ordinal recurrent events. Journal of Statistical Planning and Inference. 1995 Oct 1;47(1-2):71-78. doi: 10.1016/0378-3758(94)00122-C

Author

Berridge, Damon M. / Modelling ordinal recurrent events. In: Journal of Statistical Planning and Inference. 1995 ; Vol. 47, No. 1-2. pp. 71-78.

Bibtex

@article{253b99e0b2c2447e8deb503ac6699b60,
title = "Modelling ordinal recurrent events.",
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 {\textquoteleft}not at all{\textquoteright} to {\textquoteleft}very closely{\textquoteright}) 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.",
keywords = "Continuation ratio, Ordinal recurrent events, Normal random effects, Residual heterogeneity",
author = "Berridge, {Damon M.}",
year = "1995",
month = oct,
day = "1",
doi = "10.1016/0378-3758(94)00122-C",
language = "English",
volume = "47",
pages = "71--78",
journal = "Journal of Statistical Planning and Inference",
issn = "0378-3758",
publisher = "Elsevier",
number = "1-2",

}

RIS

TY - JOUR

T1 - Modelling ordinal recurrent events.

AU - Berridge, Damon M.

PY - 1995/10/1

Y1 - 1995/10/1

N2 - 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.

AB - 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.

KW - Continuation ratio

KW - Ordinal recurrent events

KW - Normal random effects

KW - Residual heterogeneity

U2 - 10.1016/0378-3758(94)00122-C

DO - 10.1016/0378-3758(94)00122-C

M3 - Journal article

VL - 47

SP - 71

EP - 78

JO - Journal of Statistical Planning and Inference

JF - Journal of Statistical Planning and Inference

SN - 0378-3758

IS - 1-2

ER -