| spelling |
oapen-20.500.12657-306192024-03-25T09:51:39Z Visualizing Mortality Dynamics in the Lexis Diagram Rau, Roland Bohk-Ewald, Christina Muszyńska, Magdalena M. Vaupel, James W. Land, Kenneth data lexis diagram mortality dynamics software Breast cancer Colorectal cancer Creative Commons license Human Mortality Database Life expectancy Lung cancer Seasonality United States thema EDItEUR::U Computing and Information Technology 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.... 2018-02-01 23:55:55 2020-03-18 13:36:15 2020-04-01T13:03:12Z 2020-04-01T13:03:12Z 2018 book 644810 OCN: 1017777913 1389-6784 9783319648200 http://library.oapen.org/handle/20.500.12657/30619 eng The Springer Series on Demographic Methods and Population Analysis application/pdf Attribution 4.0 International 644810.pdf Springer Nature 10.1007/978-3-319-64820-0 10.1007/978-3-319-64820-0 6c6992af-b843-4f46-859c-f6e9998e40d5 7292b17b-f01a-4016-94d3-d7fb5ef9fb79 9783319648200 European Research Council (ERC) 44 175 Cham 263744 FP7 FP7 Ideas: European Research Council FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013) open access
|
