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Modelling spatial variation in leukaemia survival data.

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Modelling spatial variation in leukaemia survival data. / Henderson, Robin; Shimakura, S.; Gorst, D.

In: Journal of the American Statistical Association, Vol. 97, No. 460, 01.12.2002, p. 965-972.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Henderson, R, Shimakura, S & Gorst, D 2002, 'Modelling spatial variation in leukaemia survival data.', Journal of the American Statistical Association, vol. 97, no. 460, pp. 965-972. https://doi.org/10.1198/016214502388618753

APA

Henderson, R., Shimakura, S., & Gorst, D. (2002). Modelling spatial variation in leukaemia survival data. Journal of the American Statistical Association, 97(460), 965-972. https://doi.org/10.1198/016214502388618753

Vancouver

Henderson R, Shimakura S, Gorst D. Modelling spatial variation in leukaemia survival data. Journal of the American Statistical Association. 2002 Dec 1;97(460):965-972. https://doi.org/10.1198/016214502388618753

Author

Henderson, Robin ; Shimakura, S. ; Gorst, D. / Modelling spatial variation in leukaemia survival data. In: Journal of the American Statistical Association. 2002 ; Vol. 97, No. 460. pp. 965-972.

Bibtex

@article{c1d2f74372964a4095916de493f9d001,
title = "Modelling spatial variation in leukaemia survival data.",
abstract = "In this article we combine ideas from spatial statistics with lifetime data analysis techniques to investigate possible spatial variation in survival of adult acute myeloid leukemia patients in northwest England. Exploratory analysis suggests both clinically and statistically significant variation in survival rates across the region. A multivariate gamma frailty model incorporating spatial dependence is proposed and applied, with results confirming the dependence of hazard on location.",
keywords = "CANCER, FRAILTY, GEOSTATISTICS, HIERARCHIC MODEL, LATENT PROCESS, SEMIPARAMETRIC MODEL",
author = "Robin Henderson and S. Shimakura and D. Gorst",
year = "2002",
month = dec,
day = "1",
doi = "10.1198/016214502388618753",
language = "English",
volume = "97",
pages = "965--972",
journal = "Journal of the American Statistical Association",
issn = "0162-1459",
publisher = "Taylor and Francis Ltd.",
number = "460",

}

RIS

TY - JOUR

T1 - Modelling spatial variation in leukaemia survival data.

AU - Henderson, Robin

AU - Shimakura, S.

AU - Gorst, D.

PY - 2002/12/1

Y1 - 2002/12/1

N2 - In this article we combine ideas from spatial statistics with lifetime data analysis techniques to investigate possible spatial variation in survival of adult acute myeloid leukemia patients in northwest England. Exploratory analysis suggests both clinically and statistically significant variation in survival rates across the region. A multivariate gamma frailty model incorporating spatial dependence is proposed and applied, with results confirming the dependence of hazard on location.

AB - In this article we combine ideas from spatial statistics with lifetime data analysis techniques to investigate possible spatial variation in survival of adult acute myeloid leukemia patients in northwest England. Exploratory analysis suggests both clinically and statistically significant variation in survival rates across the region. A multivariate gamma frailty model incorporating spatial dependence is proposed and applied, with results confirming the dependence of hazard on location.

KW - CANCER

KW - FRAILTY

KW - GEOSTATISTICS

KW - HIERARCHIC MODEL

KW - LATENT PROCESS

KW - SEMIPARAMETRIC MODEL

U2 - 10.1198/016214502388618753

DO - 10.1198/016214502388618753

M3 - Journal article

VL - 97

SP - 965

EP - 972

JO - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

SN - 0162-1459

IS - 460

ER -