Dataset for: Semiparametric Bayesian Analysis for Accelerated Failure Time Models with Cluster Structures
Posted on 2017-07-31 - 12:19 authored by Wiley Admin
In this paper, we develop a Bayesian semiparametric accelerated failure time model for survival data with cluster
structures. Our model allows distributional heterogeneity across clusters and accommodates their relationships
through a density ratio approach. Moreover, a nonparametric mixture of Dirichlet processes prior is placed on the
baseline distribution to yield full distributional flexibility. We illustrate through simulations that our model can
greatly improve estimation accuracy by effectively pooling information from multiple clusters, while taking into
account the heterogeneity in their random error distributions. We also demonstrate the implementation of our
method using analysis of Mayo Clinic Trial in Primary Biliary Cirrhosis.
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Li, Zhaonan; Xu, Xinyi; Shen, Junshan; Admin, Wiley (2017). Dataset for: Semiparametric Bayesian Analysis for Accelerated Failure Time Models with Cluster Structures. Wiley. Collection. https://doi.org/10.6084/m9.figshare.c.3807193.v1
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