Probability of Dying in Each of the Competing Risks under Bimorbid Condition

The motivation of this study is to explore the respective probability of dying in either of the risks while a person has dual or more competing risks. The problem requires evolution of a model describing the probability of dying in either of risks while a person is exposed to competing risk of two o...

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Main Authors: Kalpana Singh, Suddhendu Biswas
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2017/6318185
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author Kalpana Singh
Suddhendu Biswas
author_facet Kalpana Singh
Suddhendu Biswas
author_sort Kalpana Singh
collection DOAJ
description The motivation of this study is to explore the respective probability of dying in either of the risks while a person has dual or more competing risks. The problem requires evolution of a model describing the probability of dying in either of risks while a person is exposed to competing risk of two or more diseases. This is obtained by choice of a model which is bivariate negative binomial distribution for obtaining the number of deaths (assuming the deaths occur in the last trial). A Bayesian method has also been used for estimating probability of dying in heart disease and chronic kidney disease in the presence of diabetes, hypertension, and stroke or heart disease with chronic kidney disease. For the analysis of the same we have used CARRS (cardiometabolic risk reduction in south Asia) surveillance data, a multistage cluster random sampling technique.
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institution Kabale University
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spelling doaj-art-8bfb2600d5594b42aae2740c034797d92025-02-03T01:03:32ZengWileyJournal of Probability and Statistics1687-952X1687-95382017-01-01201710.1155/2017/63181856318185Probability of Dying in Each of the Competing Risks under Bimorbid ConditionKalpana Singh0Suddhendu Biswas1Department of Statistics, Amity Institute of Applied Science (AIAS), Amity University, Noida 201301, IndiaDepartment of Statistics, Amity Institute of Applied Science (AIAS), Amity University, Noida 201301, IndiaThe motivation of this study is to explore the respective probability of dying in either of the risks while a person has dual or more competing risks. The problem requires evolution of a model describing the probability of dying in either of risks while a person is exposed to competing risk of two or more diseases. This is obtained by choice of a model which is bivariate negative binomial distribution for obtaining the number of deaths (assuming the deaths occur in the last trial). A Bayesian method has also been used for estimating probability of dying in heart disease and chronic kidney disease in the presence of diabetes, hypertension, and stroke or heart disease with chronic kidney disease. For the analysis of the same we have used CARRS (cardiometabolic risk reduction in south Asia) surveillance data, a multistage cluster random sampling technique.http://dx.doi.org/10.1155/2017/6318185
spellingShingle Kalpana Singh
Suddhendu Biswas
Probability of Dying in Each of the Competing Risks under Bimorbid Condition
Journal of Probability and Statistics
title Probability of Dying in Each of the Competing Risks under Bimorbid Condition
title_full Probability of Dying in Each of the Competing Risks under Bimorbid Condition
title_fullStr Probability of Dying in Each of the Competing Risks under Bimorbid Condition
title_full_unstemmed Probability of Dying in Each of the Competing Risks under Bimorbid Condition
title_short Probability of Dying in Each of the Competing Risks under Bimorbid Condition
title_sort probability of dying in each of the competing risks under bimorbid condition
url http://dx.doi.org/10.1155/2017/6318185
work_keys_str_mv AT kalpanasingh probabilityofdyingineachofthecompetingrisksunderbimorbidcondition
AT suddhendubiswas probabilityofdyingineachofthecompetingrisksunderbimorbidcondition