Visualizing Mortality Dynamics in the Lexis Diagram

• Hoofdauteur: Rau, Roland (auth)
• Andere auteurs: Bohk-Ewald, Christina (auth), Muszyńska, Magdalena M. (auth), Vaupel, James W. (auth), Land, Kenneth (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Cham Springer Nature 2018
• Reeks: The Springer Series on Demographic Methods and Population Analysis 44
• Onderwerpen: Computing & information technology; data; lexis diagram; mortality dynamics; software; Breast cancer; Colorectal cancer; Creative Commons license; Human Mortality Database; Life expectancy; Lung cancer; Seasonality; United States
• Online toegang: OAPEN Library: download the publication; OAPEN Library: description of the publication

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....