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    Rights statement: This is the author’s version of a work that was accepted for publication in Spatial and Spatio-temporal Epidemiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Spatial and Spatio-temporal Epidemiology, 23, 2017 DOI: 10.1016/j.sste.2017.09.002

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Spatial variation in cancer incidence and survival over time across Queensland, Australia

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Spatial variation in cancer incidence and survival over time across Queensland, Australia. / Cramb, Susanna M; Moraga, Paula; Mengersen, Kerrie L et al.
In: Spatial and Spatio-temporal Epidemiology, Vol. 23, 11.2017, p. 59-67.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Cramb, SM, Moraga, P, Mengersen, KL & Baade, PD 2017, 'Spatial variation in cancer incidence and survival over time across Queensland, Australia', Spatial and Spatio-temporal Epidemiology, vol. 23, pp. 59-67. https://doi.org/10.1016/j.sste.2017.09.002

APA

Cramb, S. M., Moraga, P., Mengersen, K. L., & Baade, P. D. (2017). Spatial variation in cancer incidence and survival over time across Queensland, Australia. Spatial and Spatio-temporal Epidemiology, 23, 59-67. https://doi.org/10.1016/j.sste.2017.09.002

Vancouver

Cramb SM, Moraga P, Mengersen KL, Baade PD. Spatial variation in cancer incidence and survival over time across Queensland, Australia. Spatial and Spatio-temporal Epidemiology. 2017 Nov;23:59-67. Epub 2017 Oct 5. doi: 10.1016/j.sste.2017.09.002

Author

Cramb, Susanna M ; Moraga, Paula ; Mengersen, Kerrie L et al. / Spatial variation in cancer incidence and survival over time across Queensland, Australia. In: Spatial and Spatio-temporal Epidemiology. 2017 ; Vol. 23. pp. 59-67.

Bibtex

@article{36cb2c1f53c846999bc2ea4838d9d59f,
title = "Spatial variation in cancer incidence and survival over time across Queensland, Australia",
abstract = "Interpreting changes over time in small-area variation in cancer survival, in light of changes in cancer incidence, aids understanding progress in cancer control, yet few space-time analyses have considered both measures. Bayesian space-time hierarchical models were applied to Queensland Cancer Registry data to examine geographical changes in cancer incidence and relative survival over time for the five most common cancers (colorectal, melanoma, lung, breast, prostate) diagnosed during 1997-2004 and 2005-2012 across 516 Queensland residential small-areas. Large variation in both cancer incidence and survival was observed. Survival improvements were fairly consistent across the state, although small for lung cancer. Incidence changes varied by location and cancer type, ranging from lung and colorectal cancers remaining relatively constant over time, to prostate cancer dramatically increasing across the entire state. Reducing disparities in cancer-related outcomes remains a health priority, and space-time modelling of different measures provides an important mechanism by which to monitor progress.",
keywords = "Spatio-temporal, Bayesian, Cancer, Incidence, Relative survival",
author = "Cramb, {Susanna M} and Paula Moraga and Mengersen, {Kerrie L} and Baade, {Peter D}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Spatial and Spatio-temporal Epidemiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Spatial and Spatio-temporal Epidemiology, 23, 2017 DOI: 10.1016/j.sste.2017.09.002 ",
year = "2017",
month = nov,
doi = "10.1016/j.sste.2017.09.002",
language = "English",
volume = "23",
pages = "59--67",
journal = "Spatial and Spatio-temporal Epidemiology",
issn = "1877-5845",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Spatial variation in cancer incidence and survival over time across Queensland, Australia

AU - Cramb, Susanna M

AU - Moraga, Paula

AU - Mengersen, Kerrie L

AU - Baade, Peter D

N1 - This is the author’s version of a work that was accepted for publication in Spatial and Spatio-temporal Epidemiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Spatial and Spatio-temporal Epidemiology, 23, 2017 DOI: 10.1016/j.sste.2017.09.002

PY - 2017/11

Y1 - 2017/11

N2 - Interpreting changes over time in small-area variation in cancer survival, in light of changes in cancer incidence, aids understanding progress in cancer control, yet few space-time analyses have considered both measures. Bayesian space-time hierarchical models were applied to Queensland Cancer Registry data to examine geographical changes in cancer incidence and relative survival over time for the five most common cancers (colorectal, melanoma, lung, breast, prostate) diagnosed during 1997-2004 and 2005-2012 across 516 Queensland residential small-areas. Large variation in both cancer incidence and survival was observed. Survival improvements were fairly consistent across the state, although small for lung cancer. Incidence changes varied by location and cancer type, ranging from lung and colorectal cancers remaining relatively constant over time, to prostate cancer dramatically increasing across the entire state. Reducing disparities in cancer-related outcomes remains a health priority, and space-time modelling of different measures provides an important mechanism by which to monitor progress.

AB - Interpreting changes over time in small-area variation in cancer survival, in light of changes in cancer incidence, aids understanding progress in cancer control, yet few space-time analyses have considered both measures. Bayesian space-time hierarchical models were applied to Queensland Cancer Registry data to examine geographical changes in cancer incidence and relative survival over time for the five most common cancers (colorectal, melanoma, lung, breast, prostate) diagnosed during 1997-2004 and 2005-2012 across 516 Queensland residential small-areas. Large variation in both cancer incidence and survival was observed. Survival improvements were fairly consistent across the state, although small for lung cancer. Incidence changes varied by location and cancer type, ranging from lung and colorectal cancers remaining relatively constant over time, to prostate cancer dramatically increasing across the entire state. Reducing disparities in cancer-related outcomes remains a health priority, and space-time modelling of different measures provides an important mechanism by which to monitor progress.

KW - Spatio-temporal

KW - Bayesian

KW - Cancer

KW - Incidence

KW - Relative survival

U2 - 10.1016/j.sste.2017.09.002

DO - 10.1016/j.sste.2017.09.002

M3 - Journal article

C2 - 29108691

VL - 23

SP - 59

EP - 67

JO - Spatial and Spatio-temporal Epidemiology

JF - Spatial and Spatio-temporal Epidemiology

SN - 1877-5845

ER -