Matches in SemOpenAlex for { <https://semopenalex.org/work/W2037223867> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2037223867 endingPage "1607" @default.
- W2037223867 startingPage "1594" @default.
- W2037223867 abstract "Spatial scan statistics are widely used for count data to detect geographical disease clusters of high or low incidence, mortality or prevalence and to evaluate their statistical significance. Some data are ordinal or continuous in nature, however, so that it is necessary to dichotomize the data to use a traditional scan statistic for count data. There is then a loss of information and the choice of cut-off point is often arbitrary. In this paper, we propose a spatial scan statistic for ordinal data, which allows us to analyse such data incorporating the ordinal structure without making any further assumptions. The test statistic is based on a likelihood ratio test and evaluated using Monte Carlo hypothesis testing. The proposed method is illustrated using prostate cancer grade and stage data from the Maryland Cancer Registry. The statistical power, sensitivity and positive predicted value of the test are examined through a simulation study. Copyright © 2006 John Wiley & Sons, Ltd." @default.
- W2037223867 created "2016-06-24" @default.
- W2037223867 creator A5007262202 @default.
- W2037223867 creator A5077068355 @default.
- W2037223867 creator A5083550513 @default.
- W2037223867 date "2006-06-23" @default.
- W2037223867 modified "2023-10-12" @default.
- W2037223867 title "A spatial scan statistic for ordinal data" @default.
- W2037223867 cites W1813884451 @default.
- W2037223867 cites W1964848784 @default.
- W2037223867 cites W1973886547 @default.
- W2037223867 cites W1989785064 @default.
- W2037223867 cites W1991370590 @default.
- W2037223867 cites W2002151188 @default.
- W2037223867 cites W2015709235 @default.
- W2037223867 cites W2019584738 @default.
- W2037223867 cites W2030822855 @default.
- W2037223867 cites W2035626328 @default.
- W2037223867 cites W2036171570 @default.
- W2037223867 cites W2038943886 @default.
- W2037223867 cites W2051897513 @default.
- W2037223867 cites W2071552615 @default.
- W2037223867 cites W2118946263 @default.
- W2037223867 cites W2123684817 @default.
- W2037223867 cites W2127707268 @default.
- W2037223867 cites W2138235384 @default.
- W2037223867 cites W2148739047 @default.
- W2037223867 doi "https://doi.org/10.1002/sim.2607" @default.
- W2037223867 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16795130" @default.
- W2037223867 hasPublicationYear "2006" @default.
- W2037223867 type Work @default.
- W2037223867 sameAs 2037223867 @default.
- W2037223867 citedByCount "121" @default.
- W2037223867 countsByYear W20372238672012 @default.
- W2037223867 countsByYear W20372238672013 @default.
- W2037223867 countsByYear W20372238672014 @default.
- W2037223867 countsByYear W20372238672015 @default.
- W2037223867 countsByYear W20372238672016 @default.
- W2037223867 countsByYear W20372238672017 @default.
- W2037223867 countsByYear W20372238672018 @default.
- W2037223867 countsByYear W20372238672019 @default.
- W2037223867 countsByYear W20372238672020 @default.
- W2037223867 countsByYear W20372238672021 @default.
- W2037223867 countsByYear W20372238672022 @default.
- W2037223867 countsByYear W20372238672023 @default.
- W2037223867 crossrefType "journal-article" @default.
- W2037223867 hasAuthorship W2037223867A5007262202 @default.
- W2037223867 hasAuthorship W2037223867A5077068355 @default.
- W2037223867 hasAuthorship W2037223867A5083550513 @default.
- W2037223867 hasConcept C105795698 @default.
- W2037223867 hasConcept C124101348 @default.
- W2037223867 hasConcept C149782125 @default.
- W2037223867 hasConcept C169857963 @default.
- W2037223867 hasConcept C2781302328 @default.
- W2037223867 hasConcept C33923547 @default.
- W2037223867 hasConcept C41008148 @default.
- W2037223867 hasConcept C85461838 @default.
- W2037223867 hasConcept C87007009 @default.
- W2037223867 hasConcept C89128539 @default.
- W2037223867 hasConceptScore W2037223867C105795698 @default.
- W2037223867 hasConceptScore W2037223867C124101348 @default.
- W2037223867 hasConceptScore W2037223867C149782125 @default.
- W2037223867 hasConceptScore W2037223867C169857963 @default.
- W2037223867 hasConceptScore W2037223867C2781302328 @default.
- W2037223867 hasConceptScore W2037223867C33923547 @default.
- W2037223867 hasConceptScore W2037223867C41008148 @default.
- W2037223867 hasConceptScore W2037223867C85461838 @default.
- W2037223867 hasConceptScore W2037223867C87007009 @default.
- W2037223867 hasConceptScore W2037223867C89128539 @default.
- W2037223867 hasIssue "7" @default.
- W2037223867 hasLocation W20372238671 @default.
- W2037223867 hasLocation W20372238672 @default.
- W2037223867 hasOpenAccess W2037223867 @default.
- W2037223867 hasPrimaryLocation W20372238671 @default.
- W2037223867 hasRelatedWork W1499208527 @default.
- W2037223867 hasRelatedWork W1893752537 @default.
- W2037223867 hasRelatedWork W1987208043 @default.
- W2037223867 hasRelatedWork W2027042777 @default.
- W2037223867 hasRelatedWork W2042536588 @default.
- W2037223867 hasRelatedWork W2070854550 @default.
- W2037223867 hasRelatedWork W2139745470 @default.
- W2037223867 hasRelatedWork W2185794042 @default.
- W2037223867 hasRelatedWork W4287093458 @default.
- W2037223867 hasRelatedWork W4382599617 @default.
- W2037223867 hasVolume "26" @default.
- W2037223867 isParatext "false" @default.
- W2037223867 isRetracted "false" @default.
- W2037223867 magId "2037223867" @default.
- W2037223867 workType "article" @default.