Skip to content
You are not logged in |Login  
Limit search to available items
Book Cover
Author Rau, Roland, author.

Title Visualizing mortality dynamics in the lexis diagram / Roland Rau, Christina Bohk-Ewald, Magdalena M. Muszyńska, James W. Vaupel.

Publication Info. Cham, Switzerland : Springer Open, [2018]


Location Call No. Status
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
Description 1 online resource (1 PDF file (xiii, 169 pages)) : illustrations.
text file PDF rda
Series The Springer series on demographic methods and population analysis, 2215-1990 ; volume 44
Springer series on demographic methods and population analysis ; 44. 1389-6784
Bibliography Includes bibliographical references.
Summary This open access 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.
Note Description based on online resource; title from PDF title page (viewed January 3, 2020).
Contents 1: 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.
Local Note SpringerLink Springer Nature Open Access eBooks
Subject Mortality -- Statistical methods.
Population Dynamics -- statistics & numerical data.
Mortality -- trends.
Data Visualization.
Computer Simulation.
Models, Statistical.
Computing and information technology.
Medical -- Public Health.
Social Science -- Statistics.
Social Science -- Demography.
Demography. (OCoLC)fst00890158
Public health. (OCoLC)fst01082238
Social sciences. (OCoLC)fst01122877
Statistics. (OCoLC)fst01132103
Indexed Term Data
Lexis Diagram
Mortality dynamics
Added Author Bohk-Ewald, Christina, author.
Muszyńska, Magdalena, author.
Vaupel, James W., author.
Other Form: Printed edition: 9783319648187 (OCoLC)992781972
ISBN 9783319648200 (eBook)
Standard No. 10.1007/978-3-319-64820-0 doi
ISBN 3319648209
9783319648187 (alkaline paper)
Add a Review