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. © 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Luis E Nieto-Barajas. Bayesian nonparametric dynamic hazard rates in evolutionary life tables. Lifetime data analysis. 2022 Apr;28(2):319-334
PMID: 35301665
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