ITM Web Conf.
Volume 24, 2019AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
|Number of page(s)||9|
|Published online||01 February 2019|
Statistical Analysis of Health Inequalities in European Countries
University of Pardubice, Faculty of Economics and Administration, Institute of Mathematics and Quantitative Methods, Studentská 95, 532 10 Pardubice, Czech Republic
* Corresponding author: email@example.com
Efficiently functioning health systems are a prerequisite for high-quality health care and healthy life expectancy. Health care management at all levels requires a lot of information that can be obtained only by relevant analyses of health data. There are collected and regularly updated on-line published a large number of databases and enormous number of indicators about health status, health expenditures and health systems functioning at regional, national, EU member countries, OECD countries and on the world level. Paradoxically, the extent of these data sets is the reason why without at least basic statistical analysis the level of provided information is minimal. Advanced statistical methods aimed at reducing the dimension and quantification of causal relationships can provide significant information added value. The objective of this article is to analyse causal relationships between health status, health expenditures and sources of health care in selected European countries and to identify determinants of health inequalities in European countries by applying multidimensional statistical methods.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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