Visualizing Mortality Dynamics in the Lexis Diagram
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 infor...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Online |
| Reo: | Ingarihi |
| I whakaputaina: |
Springer Nature
2021
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| Ngā marau: | |
| Urunga tuihono: | 644810 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869525357747503104 |
|---|---|
| author | Rau, Roland Bohk-Ewald, Christina Muszyńska, Magdalena M. Vaupel, James W. |
| author_browse | Bohk-Ewald, Christina Muszyńska, Magdalena M. Rau, Roland Vaupel, James W. |
| author_facet | Rau, Roland Bohk-Ewald, Christina Muszyńska, Magdalena M. Vaupel, James W. |
| author_sort | Rau, Roland |
| collection | Directory of Open Access Books |
| description | 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.... |
| format | Online |
| id | doab-20.500.12854ir-38595 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-385952025-05-09T11:15:43Z 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 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.... 2021-02-10T12:58:18Z 2018-02-01 23:55:55 2020-03-18 13:36:15 2020-04-01T13:03:12Z 2018 book 644810 OCN: 1017777913 1389-6784 http://library.oapen.org/handle/20.500.12657/30619 9783319648200 https://directory.doabooks.org/handle/20.500.12854/38595 eng The Springer Series on Demographic Methods and Population Analysis open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/30619/1/644810.pdf https://library.oapen.org/bitstream/20.500.12657/30619/1/644810.pdf https://library.oapen.org/bitstream/20.500.12657/30619/1/644810.pdf https://library.oapen.org/bitstream/20.500.12657/30619/1/644810.pdf https://library.oapen.org/bitstream/20.500.12657/30619/1/644810.pdf https://library.oapen.org/bitstream/20.500.12657/30619/1/644810.pdf Springer Nature 10.1007/978-3-319-64820-0 10.1007/978-3-319-64820-0 9fa3421d-f917-4153-b9ab-fc337c396b5a FP7 Ideas: European Research Council 7292b17b-f01a-4016-94d3-d7fb5ef9fb79 9783319648200 European Research Council (ERC) EU collection 175 Cham 263744 FP7 open access |
| spellingShingle | data lexis diagram mortality dynamics software Breast cancer Colorectal cancer Creative Commons license Human Mortality Database Life expectancy Lung cancer Seasonality United States Rau, Roland Bohk-Ewald, Christina Muszyńska, Magdalena M. Vaupel, James W. Visualizing Mortality Dynamics in the Lexis Diagram |
| title | Visualizing Mortality Dynamics in the Lexis Diagram |
| title_full | Visualizing Mortality Dynamics in the Lexis Diagram |
| title_fullStr | Visualizing Mortality Dynamics in the Lexis Diagram |
| title_full_unstemmed | Visualizing Mortality Dynamics in the Lexis Diagram |
| title_short | Visualizing Mortality Dynamics in the Lexis Diagram |
| title_sort | visualizing mortality dynamics in the lexis diagram |
| topic | data lexis diagram mortality dynamics software Breast cancer Colorectal cancer Creative Commons license Human Mortality Database Life expectancy Lung cancer Seasonality United States |
| topic_facet | data lexis diagram mortality dynamics software Breast cancer Colorectal cancer Creative Commons license Human Mortality Database Life expectancy Lung cancer Seasonality United States |
| url | 644810 |
| work_keys_str_mv | AT rauroland visualizingmortalitydynamicsinthelexisdiagram AT bohkewaldchristina visualizingmortalitydynamicsinthelexisdiagram AT muszynskamagdalenam visualizingmortalitydynamicsinthelexisdiagram AT vaupeljamesw visualizingmortalitydynamicsinthelexisdiagram |