000 03841nam a22005295i 4500
001 978-3-319-64820-0
003 DE-He213
005 20190313085145.0
007 cr nn 008mamaa
008 171115s2018 gw | s |||| 0|eng d
020 _a9783319648200
_9978-3-319-64820-0
024 7 _a10.1007/978-3-319-64820-0
_2doi
050 4 _aHB848-3697
072 7 _aJHBD
_2bicssc
072 7 _aSOC006000
_2bisacsh
082 0 4 _a304.6
_223
100 1 _aRau, Roland.
_eauthor.
245 1 0 _aVisualizing Mortality Dynamics in the Lexis Diagram
_h[electronic resource] /
_cby Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIII, 169 p. 114 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Springer Series on Demographic Methods and Population Analysis,
_x1389-6784 ;
_v44
505 0 _a1: Introduction: Why do we visualize data and what is this book about? -- 2: The Lexis Diagram -- 3: Data and Software -- 4: Surface Plots of Observed Death Rates -- 5: Surface Plots of Smoothed Mortality Data -- 6: Surface Plots of Rates of Mortality Improvement -- 7: Surface Plots for Causes of Death -- 8: Surface Plots of Age-specific Contributions to the Increase in Life Expectancy -- 9: Seasonality of Causes of Death -- 10: Surface Plots for Cancer Survival -- 11: Summary and Outlook -- Bibliography -- References -- Additional Figures.  .
506 0 _aOpen Access
520 _aThis book visualizes mortality dynamics in the Lexis diagram. While the standard approach of plotting death rates is also covered, the focus in this book is on the depiction of rates of mortality improvement over age and time. This rather novel approach offers a more intuitive understanding of the underlying dynamics, enabling readers to better understand whether period- or cohort-effects were instrumental for the development of mortality in a particular country. Besides maps for single countries, the book includes maps on the dynamics of selected causes of death in the United States, such as cardiovascular diseases or lung cancer. The book also features maps for age-specific contributions to the change in life expectancy, for cancer survival and for seasonality in mortality for selected causes of death in the United States. The book is accompanied by instructions on how to use the freely available R Software to produce these types of surface maps. Readers are encouraged to use the presented tools to visualize other demographic data or any event that can be measured by age and calendar time, allowing them to adapt the methods to their respective research interests. The intended audience is anyone who is interested in visualizing data by age and calendar time; no specialist knowledge is required. This book is open access under a CC BY license. .
650 0 _aSocial sciences.
650 0 _aPublic health.
650 0 _aStatistics.
650 0 _aDemography.
650 1 4 _aSocial Sciences.
650 2 4 _aDemography.
650 2 4 _aPublic Health.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
700 1 _aBohk-Ewald, Christina.
_eauthor.
700 1 _aMuszyńska, Magdalena M.
_eauthor.
700 1 _aVaupel, James W.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319648187
830 0 _aThe Springer Series on Demographic Methods and Population Analysis,
_x1389-6784 ;
_v44
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-64820-0
912 _aZDB-2-SLS
999 _c48533
_d48533