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Quantitative Demography and Health Estimates - Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and Other Applications (1st ed. 2023)
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Quantitative Demography and Health Estimates - Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and Other Applications (1st ed. 2023)
Series: The Springer Series on Demographic Methods and Population Analysis, 55
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This book provides new theoretic and applied material with focus on
quantitative methods and data analysis techniques applied in
demography, population studies, health issues and statistics. It
discusses the quantitative techniques to estimate the healthy life
expectancy by expanding the classical life tables to include the
proportion with disability calculated from life tables, along with
the Sullivan method. The provided templates apply immediately to
the life tables from WHO, HMD, Eurostat and other life table
providers. Furthermore, the book explores the possibility of
creating new health indicators along with Covid-19 pandemic
management, factors associated to loneliness and an alcohol
indicator. Part of the book is devoted to mortality, epidemic
models, and the supercentenarians age estimation. Data analysis and
artificial intelligence methods are included to apply in
demographic and socio-economic cases. By providing a methodology to
cope with health problems in demography and society by quantifying
important health parameters, this book is a valuable guide for
researchers, theoreticians, and practitioners from various
disciplines and especially health scientists, statisticians,
economists, and sociologists.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
The Springer Series on Demographic Methods and Population Analysis, 55 |
Release date: |
August 2023 |
Editors: |
Christos H. Skiadas
• Charilaos Skiadas
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Dimensions: |
235 x 155mm (L x W) |
Pages: |
345 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-128696-4 |
Categories: |
Books
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LSN: |
3-03-128696-0 |
Barcode: |
9783031286964 |
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