10 citations · 29 across the 16 of their papers we have counts for
16 papers
Direct Healthy Life Expectancy Estimates from Life Tables with a Sullivan Extension. Bridging the Gap Between HALE and Eurostat Estimates
Christos H Skiadas, Charilaos Skiadas
The analytic derivation of a more general model of survival-mortality and the estimation of a parameter bx related to the Healthy Life Years Lost (HLYL) is followed with the formul…
Relation of the Weibull Shape Parameter with the Healthy Life Years Lost Estimates: Analytic Derivation and Estimation from an Extended Life Table
Christos H Skiadas, Charilaos Skiadas
Matsushita et al (1992) have done an interesting finding. They observed that the shape parameter of the Weibull model presented systematic changes over time and age when applied to…
Modeling the Health Expenditure in Japan, 2011. A Healthy Life Years Lost Methodology
Christos H Skiadas, Charilaos Skiadas
The Healthy Life Years Lost Methodology (HLYL) is introduced to model and estimate the Health Expenditure in Japan in 2011. The HLYL theory and estimation methods are presented in…
The Health Status of a Population estimated: The History of Health State Curves
Christos H Skiadas, Charilaos Skiadas
Following the recent publication of our book on Exploring the Health State of a Population by Dynamic Modeling Methods in The Springer Series on Demographic Methods and Population…
The Health Status of a Population: Health State and Survival Curves, and HALE Estimates
Christos H Skiadas, Charilaos Skiadas
In this paper we explore the very important case of finding a health measure in the lines of the survival curve but independent of the standard deviation parameter. This is done by…
The Health-Mortality Approach in Estimating the Healthy Life Years Lost Compared to the Global Burden of Disease Studies and Applications
Christos H Skiadas
We propose a series of methods and models in order to explore the Global Burden of Disease Study and the provided healthy life expectancy HALE estimates from the World Health Organ…