LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients

It is estimated, that in the Czech Republic live about 40 000–50 000 people suffering from celiac disease, which is a disease of gluten intolerance. At the beginning of the independent Czech Republic, the life expectancy at birth of these people was quite low, because just in this period detailed di...

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Main Author: Ondřej Šimpach
Format: Article
Language:English
Published: Czech Statistical Office 2012-12-01
Series:Statistika: Statistics and Economy Journal
Subjects:
Online Access:http://www.czso.cz/csu/2012edicniplan.nsf/engt/EC00495672/$File/e-180212q4k07.pdf
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author Ondřej Šimpach
author_facet Ondřej Šimpach
author_sort Ondřej Šimpach
collection DOAJ
description It is estimated, that in the Czech Republic live about 40 000–50 000 people suffering from celiac disease, which is a disease of gluten intolerance. At the beginning of the independent Czech Republic, the life expectancy at birth of these people was quite low, because just in this period detailed diagnosis of this disease came fromabroad. With an increasing age the probability of death of these people grew faster than that of total population. The aim of this study is to analyse the probability of death of x-year old persons during next five years after the general medical examination in 1990 and 1995. Both analyses will be solved using LOGIT and PROBITmodels and the hypothesis claiming, that probability of death of x-year old person suffering from celiac disease decreased few years after the gaining of new medical knowledge from abroad will be confirmed or refused.
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spelling doaj.art-b9a3915a606b4a2a989e36a28a94eb432022-12-21T23:52:59ZengCzech Statistical OfficeStatistika: Statistics and Economy Journal1804-87652012-12-014946780LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease PatientsOndřej ŠimpachIt is estimated, that in the Czech Republic live about 40 000–50 000 people suffering from celiac disease, which is a disease of gluten intolerance. At the beginning of the independent Czech Republic, the life expectancy at birth of these people was quite low, because just in this period detailed diagnosis of this disease came fromabroad. With an increasing age the probability of death of these people grew faster than that of total population. The aim of this study is to analyse the probability of death of x-year old persons during next five years after the general medical examination in 1990 and 1995. Both analyses will be solved using LOGIT and PROBITmodels and the hypothesis claiming, that probability of death of x-year old person suffering from celiac disease decreased few years after the gaining of new medical knowledge from abroad will be confirmed or refused.http://www.czso.cz/csu/2012edicniplan.nsf/engt/EC00495672/$File/e-180212q4k07.pdfProbability of deathceliac diseaseLOGITPROBITdiscrete dependent variables
spellingShingle Ondřej Šimpach
LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients
Statistika: Statistics and Economy Journal
Probability of death
celiac disease
LOGIT
PROBIT
discrete dependent variables
title LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients
title_full LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients
title_fullStr LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients
title_full_unstemmed LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients
title_short LOGIT and PROBIT Models in the Probability Analysis: Change in the Probability of Death from Celiac Disease Patients
title_sort logit and probit models in the probability analysis change in the probability of death from celiac disease patients
topic Probability of death
celiac disease
LOGIT
PROBIT
discrete dependent variables
url http://www.czso.cz/csu/2012edicniplan.nsf/engt/EC00495672/$File/e-180212q4k07.pdf
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