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A continuation ratio random effects model for repeated ordinal responses.

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A continuation ratio random effects model for repeated ordinal responses. / Dos Santos, Dirley M.; Berridge, Damon M.
In: Statistics in Medicine, Vol. 19, No. 24, 30.12.2000, p. 3377-3388.

Research output: Contribution to Journal/Magazine › Journal article

Harvard

Dos Santos, DM & Berridge, DM 2000, 'A continuation ratio random effects model for repeated ordinal responses.', Statistics in Medicine, vol. 19, no. 24, pp. 3377-3388. https://doi.org/10.1002/1097-0258(20001230)19:24<3377::AID-SIM526>3.0.CO;2-E

APA

Dos Santos, D. M., & Berridge, D. M. (2000). A continuation ratio random effects model for repeated ordinal responses. Statistics in Medicine, 19(24), 3377-3388. https://doi.org/10.1002/1097-0258(20001230)19:24<3377::AID-SIM526>3.0.CO;2-E

Vancouver

Dos Santos DM, Berridge DM. A continuation ratio random effects model for repeated ordinal responses. Statistics in Medicine. 2000 Dec 30;19(24):3377-3388. doi: 10.1002/1097-0258(20001230)19:24<3377::AID-SIM526>3.0.CO;2-E

Author

Dos Santos, Dirley M. ; Berridge, Damon M. / A continuation ratio random effects model for repeated ordinal responses. In: Statistics in Medicine. 2000 ; Vol. 19, No. 24. pp. 3377-3388.

Bibtex

@article{18e04e5b725344feaf1313a14b2573b8,
title = "A continuation ratio random effects model for repeated ordinal responses.",
abstract = "This paper presents methods of analysis for ordinal repeated measures. We use a generalization of the continuation ratio model with a random effect. We handle frailty by using a normal distribution and also a non-parametric distribution. The methodology is readily implemented in existing software and flexible enough to treat large data sets with uncommon time measurements as well as different numbers of repeated measures for each individual. The models are used to investigate how a group of explanatory variables influences the overall condition of patients treated for breast cancer.",
author = "{Dos Santos}, {Dirley M.} and Berridge, {Damon M.}",
year = "2000",
month = dec,
day = "30",
doi = "10.1002/1097-0258(20001230)19:24<3377::AID-SIM526>3.0.CO;2-E",
language = "English",
volume = "19",
pages = "3377--3388",
journal = "Statistics in Medicine",
issn = "1097-0258",
publisher = "John Wiley and Sons Ltd",
number = "24",

}

RIS

TY - JOUR

T1 - A continuation ratio random effects model for repeated ordinal responses.

AU - Dos Santos, Dirley M.

AU - Berridge, Damon M.

PY - 2000/12/30

Y1 - 2000/12/30

N2 - This paper presents methods of analysis for ordinal repeated measures. We use a generalization of the continuation ratio model with a random effect. We handle frailty by using a normal distribution and also a non-parametric distribution. The methodology is readily implemented in existing software and flexible enough to treat large data sets with uncommon time measurements as well as different numbers of repeated measures for each individual. The models are used to investigate how a group of explanatory variables influences the overall condition of patients treated for breast cancer.

AB - This paper presents methods of analysis for ordinal repeated measures. We use a generalization of the continuation ratio model with a random effect. We handle frailty by using a normal distribution and also a non-parametric distribution. The methodology is readily implemented in existing software and flexible enough to treat large data sets with uncommon time measurements as well as different numbers of repeated measures for each individual. The models are used to investigate how a group of explanatory variables influences the overall condition of patients treated for breast cancer.

U2 - 10.1002/1097-0258(20001230)19:24<3377::AID-SIM526>3.0.CO;2-E

DO - 10.1002/1097-0258(20001230)19:24<3377::AID-SIM526>3.0.CO;2-E

M3 - Journal article

VL - 19

SP - 3377

EP - 3388

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 1097-0258

IS - 24

ER -