Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High
  Dimension   Joint models for longitudinal biomarkers and time-to-event data are widely
used in longitudinal studies. Many joint modeling approaches have been proposed
to deal with different types of longitudinal biomarkers and survival outcomes.
However, most existing joint modeling methods cannot deal with a large number
of longitudinal biomarkers simultaneously, such as the longitudinally collected
gene expression profiles. In this article, we propose a new joint modeling
method under the Bayesian framework, which is able to deal with longitudinal
biomarkers of high dimension. Specifically, we assume that only a few
unobserved latent variables are related to the survival outcome and the latent
variables are inferred using a factor analysis model, which greatly reduces the
dimensionality of the biomarkers and also accounts for the high correlations
among the biomarkers. Through extensive simulation studies, we show that our
proposed method has improved prediction accuracy over other joint modeling
methods. We illustrate the usefulness of our method on a dataset of idiopathic
pulmonary fibrosis patients in which we are interested in predicting the
patients' time-to-death using their gene expression profiles.

19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
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The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
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The categories of this paper are: econ
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph