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        Visualizing Mortality Dynamics in the Lexis Diagram

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        Author(s)
        Rau, Roland
        Bohk-Ewald, Christina
        Muszyńska, Magdalena M.
        Vaupel, James W.
        Contributor(s)
        Land, Kenneth (editor)
        Collection
        European Research Council (ERC); EU collection
        Language
        English
        Show full item record
        Abstract
        The 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....
        URI
        http://library.oapen.org/handle/20.500.12657/30619
        Keywords
        data; lexis diagram; mortality dynamics; software; Breast cancer; Colorectal cancer; Creative Commons license; Human Mortality Database; Life expectancy; Lung cancer; Seasonality; United States
        DOI
        10.1007/978-3-319-64820-0
        ISBN
        9783319648200
        OCN
        1017777913
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2018
        Grantor
        • FP7 Ideas: European Research Council - 263744 - ROMI - FP7 Research grant informationFind all documents
        Series
        The Springer Series on Demographic Methods and Population Analysis, 44
        Classification
        Computing and Information Technology
        Pages
        175
        Public remark
        Relevant Wikipedia pages: Breast cancer - https://en.wikipedia.org/wiki/Breast_cancer; Colorectal cancer - https://en.wikipedia.org/wiki/Colorectal_cancer; Creative Commons license - https://en.wikipedia.org/wiki/Creative_Commons_license; Human Mortality Database - https://en.wikipedia.org/wiki/Human_Mortality_Database; Life expectancy - https://en.wikipedia.org/wiki/Life_expectancy; Lung cancer - https://en.wikipedia.org/wiki/Lung_cancer; Mortality rate - https://en.wikipedia.org/wiki/Mortality_rate; Seasonality - https://en.wikipedia.org/wiki/Seasonality; United States - https://en.wikipedia.org/wiki/United_States
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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