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Statistical Analysis of Health Inequalities in European Countries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39913056" target="_blank" >RIV/00216275:25410/19:39913056 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.itm-conferences.org/articles/itmconf/abs/2019/01/itmconf_amcse18_02002/itmconf_amcse18_02002.html" target="_blank" >https://www.itm-conferences.org/articles/itmconf/abs/2019/01/itmconf_amcse18_02002/itmconf_amcse18_02002.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1051/itmconf/20192402002" target="_blank" >10.1051/itmconf/20192402002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical Analysis of Health Inequalities in European Countries

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ITM Web of Conferences

  • ISBN

  • ISSN

    2271-2097

  • e-ISSN

    2271-2097

  • Number of pages

    9

  • Pages from-to

    1-9

  • Publisher name

    EDP Sciences

  • Place of publication

    Les Ulis

  • Event location

    Řím

  • Event date

    Nov 23, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000473095100017