TY - JOUR
A2 - Rai, Shesh N.
AU - Singh, Kalpana
AU - Biswas, Suddhendu
PY - 2017
DA - 2017/04/13
TI - Probability of Dying in Each of the Competing Risks under Bimorbid Condition
SP - 6318185
VL - 2017
AB - 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.
SN - 1687-952X
UR - https://doi.org/10.1155/2017/6318185
DO - 10.1155/2017/6318185
JF - Journal of Probability and Statistics
PB - Hindawi
KW -
ER -