Publication
Disease mapping models for data with weak spatial dependence or spatial discontinuities
| dc.contributor.author | Baptista, Helena | |
| dc.contributor.author | Congdon, Peter | |
| dc.contributor.author | Mendes, Jorge M. | |
| dc.contributor.author | Rodrigues, Ana M. | |
| dc.contributor.author | Canhão, Helena | |
| dc.contributor.author | Dias, Sara Simões | |
| dc.date.accessioned | 2021-04-22T09:41:56Z | |
| dc.date.available | 2021-04-22T09:41:56Z | |
| dc.date.issued | 2020-11-11 | |
| dc.description.abstract | Recent advances in the spatial epidemiology literature have extended traditional approaches by including determinant disease factors that allow for non-local smoothing and/or non-spatial smoothing. In this article, two of those approaches are compared and are further extended to areas of high interest from the public health perspective. These are a conditionally specified Gaussian random field model, using a similaritybased non-spatial weight matrix to facilitate non-spatial smoothing in Bayesian disease mapping; and a spatially adaptive conditional autoregressive prior model. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1515/em-2019-0025 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.8/5691 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Bayesian modelling | pt_PT |
| dc.subject | Bayesian modelling | pt_PT |
| dc.subject | Limiting health problems | pt_PT |
| dc.subject | Spatial epidemiology | pt_PT |
| dc.subject | Similarity-based and adaptive models | pt_PT |
| dc.title | Disease mapping models for data with weak spatial dependence or spatial discontinuities | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | pt_PT |
| oaire.citation.title | Epidemiologic Methods | pt_PT |
| oaire.citation.volume | 9 | pt_PT |
| person.familyName | Dias | |
| person.givenName | Sara | |
| person.identifier.ciencia-id | AA1F-9375-B5E6 | |
| person.identifier.orcid | 0000-0001-6782-7481 | |
| person.identifier.rid | I-9965-2018 | |
| person.identifier.scopus-author-id | 33367487300 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | a49e0bc6-cfea-4033-aebf-a1ef9e4c5e7b | |
| relation.isAuthorOfPublication.latestForDiscovery | a49e0bc6-cfea-4033-aebf-a1ef9e4c5e7b |
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