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Titlebook: Demography and Health Issues; Population Aging, Mo Christos H. Skiadas,Charilaos Skiadas Book 2018 Springer International Publishing AG, pa

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书目名称Demography and Health Issues
副标题Population Aging, Mo
编辑Christos H. Skiadas,Charilaos Skiadas
视频video
概述Explores and applies quantitative methods in Demography.Integrates statistics, data analysis and stochastic techniques.Includes stochastic processes as well as Markov models
丛书名称The Springer Series on Demographic Methods and Population Analysis
图书封面Titlebook: Demography and Health Issues; Population Aging, Mo Christos H. Skiadas,Charilaos Skiadas Book 2018 Springer International Publishing AG, pa
描述This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techniques focusing on demography, population aging, mortality and health sciences.  The book describes diverse stochastic processes as well as Markov and semi-Markov models in demography and population studies, along with chapters on statistical models and methods in biostatistics and epidemiology.  As such the book will be a valuable source to demographers, health scientists, statisticians, economists and sociologists.
出版日期Book 2018
关键词Population aging; Methods in biostatistics and epidemiology; Stochastic processes and Markov models; Dy
版次1
doihttps://doi.org/10.1007/978-3-319-76002-5
isbn_softcover978-3-030-09376-1
isbn_ebook978-3-319-76002-5Series ISSN 1877-2560 Series E-ISSN 2215-1990
issn_series 1877-2560
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Estimation of the Healthy Life Expectancy in Italy Through a Simple Model Based on Mortality Rate Organization (WHO) from the Global Burden of Disease Study. First we calculate the loss of healthy life year estimator (LHLY) and then the healthy life expectancy (HLE). We use the full life tables from the Human Mortality Database (HMD). Our estimates are compared with the HALE estimates for Italy
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Applications of the Cumulative Rate to Kidney Cancer Statistics in Australiaa certain age. We argue that the cumulative rate is a superior measure because it obviates the need for a standard population, and is not open to misinterpretation as is the case for cumulative risk. Then we illustrate the application of the cumulative rate by analysing incidence and mortality data
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