top of page
Visualizing Mortality Dynamics in the Lexis Diagram
Inside this Book

If you make use of this material, you may credit the authors as follows:

Rau Roland et al., "Visualizing Mortality Dynamics in the Lexis Diagram", Springer Nature, 2018, DOI: 10.1007/978-3-319-64820-0, License: https://creativecommons.org/licenses/by/4.0/

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 States

Rights | License

Except where otherwise noted, this item has been published under the following license:

You might also be interested in the following books from Amazon:

Takedown policy:

If you believe that this publication infringes copyright, please contact us at info@jecasa-ltd.com and provide relevant details so that we can investigate your claim.

bottom of page