Quantitative Methods And Data Analysis In Applied Demography Volume 1
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Quantitative Methods and Data Analysis in Applied Demography - Volume 1
Author: Christos H. Skiadas
language: en
Publisher: Springer Nature
Release Date: 2025-08-31
This first volume of two provides quantitative techniques to estimate the healthy life years lost by expanding the classical life tables to include the proportion with disability calculated from life tables, along with a final part using the Sullivan method. The provided templates apply immediately to the life tables from the WHO, HMD, Eurostat and other life table providers. Furthermore, the possibility of creating new health indicators is explored along with Covid-19 pandemic management. A part of this book is devoted to mortality, epidemic models, and comparative studies in Czehia, Greece, and the EU. Data analysis and artificial intelligence methods are included to apply in demographic and Cox regression and gender differences and the gender gap in EU. Mortality is tested with support methodology, while the gender gap is extensively analyzed and tested in several countries. The post covid-19 cases are tested, including mortality and economic implications for cases from China, Greece and Czechia. The stochastic behavior of Epstein-Barr Virus is explored and a case study on heterochronous Maltese SARS-CoV-2 genomic data is presented. Leonhard Euler’s research on the multiplication of the human race with models of population growth is also reviewed. By providing a methodology to cope with health and mortality problems in demography and society in Volume 1 and quantifying important health parameters in Volume 2, the books are a valuable guide for researchers, theoreticians, and practitioners from various disciplines and especially applied demographers, health scientists, statisticians, economists, and sociologists.
Quantitative Methods and Data Analysis in Applied Demography - Volume 2
Author: Christos H. Skiadas
language: en
Publisher: Springer Nature
Release Date: 2025-08-31
This second volume of two complements volume 1 by discussing models, risk and surveys in applied demography. Models and modeling cover a wide range of data analysis methods and techniques to cope with demographic data including principal components, clustering, GARCH models and dynamic correlation, multilevel models and stochastic insurance models including an R package for clustering as well. Surveys cope with the analysis of various data set arising in National and International context. Data from European Social Survey and National surveys are analyzed, as well as food waste generation analysis and social mobility in Europe along with post Covid-19 data sets. By providing a methodology to cope with health and mortality problems in demography and society in Volume 1 and quantifying important health parameters in Volume 2, the books are a valuable guide for applied demographers, researchers, theoreticians, and practitioners from various disciplines and especiallyhealth scientists, statisticians, economists, and sociologists.
Quantitative Methods in Demography
This book provides quantitative and applied methodologies in the Covid-19 era exploring important issues in demography, population studies, and health. It provides insight into health and health measures as to the healthy life years lost and the healthy life expectancy related to Covid-19 pandemic. It also describes mortality and survival and focuses on data analysis in demography and population studies. Special methods and applications in demography and society are also described, thereby including applications in society, pension and insurance. As such, this book is a valuable guide for researchers, theoreticians and practitioners from various scientific fields.