Visualizing Mortality Dynamics in the Lexis Diagram (Volume 44.0)
eBook - PDF

Visualizing Mortality Dynamics in the Lexis Diagram (Volume 44.0)

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Visualizing Mortality Dynamics in the Lexis Diagram (Volume 44.0)

About this book

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....

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Yes, you can access Visualizing Mortality Dynamics in the Lexis Diagram (Volume 44.0) by Christina Bohk-Ewald, Roland Rau, Magdalena M. Muszynska in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Acknowledgments
  2. Contents
  3. List of Figures
  4. List of Tables
  5. 1 Introduction: Why Do We Visualize Data and What Is This Book About?
  6. 2 The Lexis Diagram
  7. 3 Data and Software
  8. 4 Surface Plots of Observed Death Rates
  9. 5 Surface Plots of Smoothed Mortality Data
  10. 6 Surface Plots of Rates of Mortality Improvement
  11. 7 Surface Plots of Rates of Mortality Improvement for Selected Causes of Death in the United States
  12. 8 Surface Plots of Age-Specific Contributions to the Increase in Life Expectancy
  13. 9 Seasonality of Causes of Death
  14. 10 Surface Plots for Cancer Survival
  15. 11 Summary and Outlook
  16. Additional Figures
  17. Software: R package ROMIplot
  18. References