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A serially correlated gamma frailty model for longitudinal count data.

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A serially correlated gamma frailty model for longitudinal count data. / Henderson, Robin; Shimakura, Silvia.
In: Biometrika, Vol. 90, No. 2, 2003, p. 355-366.

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

Harvard

Henderson, R & Shimakura, S 2003, 'A serially correlated gamma frailty model for longitudinal count data.', Biometrika, vol. 90, no. 2, pp. 355-366. https://doi.org/10.1093/biomet/90.2.355

APA

Henderson, R., & Shimakura, S. (2003). A serially correlated gamma frailty model for longitudinal count data. Biometrika, 90(2), 355-366. https://doi.org/10.1093/biomet/90.2.355

Vancouver

Henderson R, Shimakura S. A serially correlated gamma frailty model for longitudinal count data. Biometrika. 2003;90(2):355-366. doi: 10.1093/biomet/90.2.355

Author

Henderson, Robin; ; Shimakura, Silvia. / A serially correlated gamma frailty model for longitudinal count data. In: Biometrika. 2003 ; Vol. 90, No. 2. pp. 355-366.

Bibtex

@article{7b1fd671dd3642efb8fcdb5745ffae39,
title = "A serially correlated gamma frailty model for longitudinal count data.",
abstract = "A Poisson-gamma model is introduced to account for between-subjects heterogeneity and within-subjects serial correlation occurring in longitudinal count data. The model extends the usual time-constant shared frailty approach to allow time-varying serially correlated gamma frailty whilst retaining standard marginal assumptions. A composite likelihood approach to estimation and testing for serial correlation is proposed. The work is motivated by a clinical trial on patient-controlled analgesia where the number of analgesic doses taken by hospital patients in successive time intervals following abdominal surgery is recorded.",
keywords = "Composite likelihood, Multivariate gamma distribution, Patient-controlled analgesia, Recurrent event data.",
author = "Robin; Henderson and Silvia Shimakura",
year = "2003",
doi = "10.1093/biomet/90.2.355",
language = "English",
volume = "90",
pages = "355--366",
journal = "Biometrika",
issn = "1464-3510",
publisher = "Oxford University Press",
number = "2",

}

RIS

TY - JOUR

T1 - A serially correlated gamma frailty model for longitudinal count data.

AU - Henderson, Robin;

AU - Shimakura, Silvia

PY - 2003

Y1 - 2003

N2 - A Poisson-gamma model is introduced to account for between-subjects heterogeneity and within-subjects serial correlation occurring in longitudinal count data. The model extends the usual time-constant shared frailty approach to allow time-varying serially correlated gamma frailty whilst retaining standard marginal assumptions. A composite likelihood approach to estimation and testing for serial correlation is proposed. The work is motivated by a clinical trial on patient-controlled analgesia where the number of analgesic doses taken by hospital patients in successive time intervals following abdominal surgery is recorded.

AB - A Poisson-gamma model is introduced to account for between-subjects heterogeneity and within-subjects serial correlation occurring in longitudinal count data. The model extends the usual time-constant shared frailty approach to allow time-varying serially correlated gamma frailty whilst retaining standard marginal assumptions. A composite likelihood approach to estimation and testing for serial correlation is proposed. The work is motivated by a clinical trial on patient-controlled analgesia where the number of analgesic doses taken by hospital patients in successive time intervals following abdominal surgery is recorded.

KW - Composite likelihood

KW - Multivariate gamma distribution

KW - Patient-controlled analgesia

KW - Recurrent event data.

U2 - 10.1093/biomet/90.2.355

DO - 10.1093/biomet/90.2.355

M3 - Journal article

VL - 90

SP - 355

EP - 366

JO - Biometrika

JF - Biometrika

SN - 1464-3510

IS - 2

ER -