Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Accelerated Failure Time Models for Competing Risks in a Cluster
  Weighted Modelling Framework   A novel approach for dealing with censored competing risks regression data is
proposed. This is implemented by a mixture of accelerated failure time (AFT)
models for a competing risks scenario within a cluster-weighted modelling (CWM)
framework. Specifically, we make use of the log-normal AFT model here but any
commonly used AFT model can be utilized. The alternating expectation
conditional maximization algorithm (AECM) is used for parameter estimation and
bootstrapping for standard error estimation. Finally, we present our results on
some simulated and real competing risks data.

37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org