Bayesian nonparametric dynamic hazard rates in evolutionary life tables.
Lifetime Data Anal
; 28(2): 319-334, 2022 04.
Article
em En
| MEDLINE
| ID: mdl-35301665
In the study of life tables the random variable of interest is usually assumed discrete since mortality rates are studied for integer ages. In dynamic life tables a time domain is included to account for the evolution effect of the hazard rates in time. In this article we follow a survival analysis approach and use a nonparametric description of the hazard rates. We construct a discrete time stochastic processes that reflects dependence across age as well as in time. This process is used as a bayesian nonparametric prior distribution for the hazard rates for the study of evolutionary life tables. Prior properties of the process are studied and posterior distributions are derived. We present a simulation study, with the inclusion of right censored observations, as well as a real data analysis to show the performance of our model.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Teorema de Bayes
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Lifetime Data Anal
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
México
País de publicação:
Estados Unidos