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A shared neighbour conditional autoregressive model for small area spatial data

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A shared neighbour conditional autoregressive model for small area spatial data. / Lawson, A. B.; Rotejanaprasert, C.; Moraga, P.
In: Environmetrics, Vol. 26, No. 6, 09.2015, p. 383-392.

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

Harvard

Lawson, AB, Rotejanaprasert, C & Moraga, P 2015, 'A shared neighbour conditional autoregressive model for small area spatial data', Environmetrics, vol. 26, no. 6, pp. 383-392. https://doi.org/10.1002/env.2346

APA

Lawson, A. B., Rotejanaprasert, C., & Moraga, P. (2015). A shared neighbour conditional autoregressive model for small area spatial data. Environmetrics, 26(6), 383-392. https://doi.org/10.1002/env.2346

Vancouver

Lawson AB, Rotejanaprasert C, Moraga P. A shared neighbour conditional autoregressive model for small area spatial data. Environmetrics. 2015 Sept;26(6):383-392. doi: 10.1002/env.2346

Author

Lawson, A. B. ; Rotejanaprasert, C. ; Moraga, P. / A shared neighbour conditional autoregressive model for small area spatial data. In: Environmetrics. 2015 ; Vol. 26, No. 6. pp. 383-392.

Bibtex

@article{ce55437ef70f4bb4aa0a1bb2d23402d6,
title = "A shared neighbour conditional autoregressive model for small area spatial data",
abstract = "The use of conditional autoregressive (CAR) models for spatial effects is commonplace, especially when dealing with aggregated count data in health studies. CAR models are convenient and relatively easy to implement but suffer from the fact that they have limited flexibility in modeling correlation. We introduce a new CAR model that can accommodate different neighborhood features (including shared neighbors). Further, we examine via simulation how this model performs in comparison with standard CAR models. We also consider the application to a small area health data example.",
author = "Lawson, {A. B.} and C. Rotejanaprasert and P. Moraga",
year = "2015",
month = sep,
doi = "10.1002/env.2346",
language = "English",
volume = "26",
pages = "383--392",
journal = "Environmetrics",
issn = "1180-4009",
publisher = "John Wiley and Sons Ltd",
number = "6",

}

RIS

TY - JOUR

T1 - A shared neighbour conditional autoregressive model for small area spatial data

AU - Lawson, A. B.

AU - Rotejanaprasert, C.

AU - Moraga, P.

PY - 2015/9

Y1 - 2015/9

N2 - The use of conditional autoregressive (CAR) models for spatial effects is commonplace, especially when dealing with aggregated count data in health studies. CAR models are convenient and relatively easy to implement but suffer from the fact that they have limited flexibility in modeling correlation. We introduce a new CAR model that can accommodate different neighborhood features (including shared neighbors). Further, we examine via simulation how this model performs in comparison with standard CAR models. We also consider the application to a small area health data example.

AB - The use of conditional autoregressive (CAR) models for spatial effects is commonplace, especially when dealing with aggregated count data in health studies. CAR models are convenient and relatively easy to implement but suffer from the fact that they have limited flexibility in modeling correlation. We introduce a new CAR model that can accommodate different neighborhood features (including shared neighbors). Further, we examine via simulation how this model performs in comparison with standard CAR models. We also consider the application to a small area health data example.

U2 - 10.1002/env.2346

DO - 10.1002/env.2346

M3 - Journal article

VL - 26

SP - 383

EP - 392

JO - Environmetrics

JF - Environmetrics

SN - 1180-4009

IS - 6

ER -