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dc.contributor.authorRau, Roland
dc.contributor.authorBohk-Ewald, Christina
dc.contributor.authorMuszyńska, Magdalena M.
dc.contributor.authorVaupel, James W.
dc.contributor.editorLand, Kenneth
dc.date.accessioned2025-03-08T10:37:27Z
dc.date.available2025-03-08T10:37:27Z
dc.date.issued2018
dc.date.submitted2018-02-01 23:55:55
dc.date.submitted2020-03-18 13:36:15
dc.date.submitted2020-04-01T13:03:12Z
dc.identifier644810
dc.identifierOCN: 1017777913
dc.identifier1389-6784
dc.identifierhttp://library.oapen.org/handle/20.500.12657/30619
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/195000
dc.description.abstractThe goal of this book is simple: We would like to show how mortality dynamics can be visualized in the so-called Lexis diagram. To appeal to as many potential readers as possible, we do not require any specialist knowledge. This approach may be disappointing: Demographers may have liked more information about the mathematical underpinnings of population dynamics on the Lexis surface as demonstrated, for instance, by Arthur and Vaupel in 1984. Statisticians would have probably preferred more information about the underlying smoothing methods that were used. Epidemiologists likewise might miss discussions about the etiology of diseases. Sociologists would have probably expected that our results were more embedded into theoretical frameworks....
dc.languageEnglish
dc.relation.ispartofseriesThe Springer Series on Demographic Methods and Population Analysis
dc.rightsopen access
dc.subject.otherdata
dc.subject.otherlexis diagram
dc.subject.othermortality dynamics
dc.subject.othersoftware
dc.subject.otherBreast cancer
dc.subject.otherColorectal cancer
dc.subject.otherCreative Commons license
dc.subject.otherHuman Mortality Database
dc.subject.otherLife expectancy
dc.subject.otherLung cancer
dc.subject.otherSeasonality
dc.subject.otherUnited States
dc.subject.otherthema EDItEUR::U Computing and Information Technology
dc.titleVisualizing Mortality Dynamics in the Lexis Diagram
dc.typebook
oapen.identifier.doi10.1007/978-3-319-64820-0
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.relation.isFundedByfb214456-da48-4ff7-a1ee-f6407a27f6be
oapen.relation.isFundedBy7292b17b-f01a-4016-94d3-d7fb5ef9fb79
oapen.relation.isbn9783319648200
oapen.collectionEuropean Research Council (ERC)
oapen.pages175
oapen.place.publicationCham
oapen.grant.number263744
oapen.grant.programFP7
dc.relationisFundedBy7292b17b-f01a-4016-94d3-d7fb5ef9fb79
dc.seriesnumber44


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