Visualizing Mortality Dynamics in the Lexis Diagram
Author(s)
Rau, Roland
Bohk-Ewald, Christina
Muszyńska, Magdalena M.
Vaupel, James W.
Contributor(s)
Land, Kenneth (editor)
Collection
European Research Council (ERC)Language
EnglishAbstract
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....
Keywords
data; lexis diagram; mortality dynamics; software; Breast cancer; Colorectal cancer; Creative Commons license; Human Mortality Database; Life expectancy; Lung cancer; Seasonality; United StatesDOI
10.1007/978-3-319-64820-0ISBN
9783319648200OCN
1017777913Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Cham, 2018Grantor
Series
The Springer Series on Demographic Methods and Population Analysis, 44Classification
Computing and Information Technology