Cited 7 times in
Spatial scan statistics for matched case-control data
DC Field | Value | Language |
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dc.contributor.author | 정인경 | - |
dc.date.accessioned | 2019-10-28T01:34:28Z | - |
dc.date.available | 2019-10-28T01:34:28Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/171255 | - |
dc.description.abstract | Spatial scan statistics are widely used for cluster detection analysis in geographical disease surveillance. While this method has been developed for various types of data such as binary, count, and continuous data, spatial scan statistics for matched case-control data, which often arise in spatial epidemiology, have not been considered. We propose spatial scan statistics for matched case-control data. The proposed test statistics consider the correlations between matched pairs. We evaluate the statistical power and cluster detection accuracy of the proposed methods through simulations compared to the Bernoulli-based method. We illustrate the proposed methods using a real data example. The simulation study clearly revealed that the proposed methods had higher power and higher accuracy for detecting spatial clusters for matched case-control data than the Bernoulli-based spatial scan statistic. The cluster detection result of the real data example also appeared to reflect a higher power of the proposed methods. The proposed methods are very useful for spatial cluster detection for matched case-control data. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Public Library of Science | - |
dc.relation.isPartOf | PLoS One | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Spatial scan statistics for matched case-control data | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | Inkyung Jung | - |
dc.identifier.doi | 10.1371/journal.pone.0221225 | - |
dc.contributor.localId | A03693 | - |
dc.relation.journalcode | J02540 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.identifier.pmid | 31419252 | - |
dc.contributor.alternativeName | Jung, In Kyung | - |
dc.contributor.affiliatedAuthor | 정인경 | - |
dc.citation.volume | 14 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | e0221225 | - |
dc.identifier.bibliographicCitation | PLoS One, Vol.14(8) : e0221225, 2019 | - |
dc.identifier.rimsid | 63894 | - |
dc.type.rims | ART | - |
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