Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Risk Prediction Using Survival Tree Ensembles with Application
  to Cystic Fibrosis   With the availability of massive amounts of data from electronic health
records and registry databases, incorporating time-varying patient information
to improve risk prediction has attracted great attention. To exploit the
growing amount of predictor information over time, we develop a unified
framework for landmark prediction using survival tree ensembles, where an
updated prediction can be performed when new information becomes available.
Compared to the conventional landmark prediction, our framework enjoys great
flexibility in that the landmark times can be subject-specific and triggered by
an intermediate clinical event. Moreover, the nonparametric approach
circumvents the thorny issue in model incompatibility at different landmark
times. When both the longitudinal predictors and the outcome event time are
subject to right censoring, existing tree-based approaches cannot be directly
applied. To tackle the analytical challenges, we consider a risk-set-based
ensemble procedure by averaging martingale estimating equations from individual
trees. Extensive simulation studies are conducted to evaluate the performance
of our methods. The methods are applied to the Cystic Fibrosis Patient Registry
(CFFPR) data to perform dynamic prediction of lung disease in cystic fibrosis
patients and to identify important prognosis factors.

34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph