Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vertical modeling: analysis of competing risks data with a cure
  proportion   In this paper, we extend the vertical modeling approach for the analysis of
survival data with competing risks to incorporate a cured fraction in the
population, that is, a proportion of the population for which none of the
competing events can occur. The proposed method has three components: the
proportion of cure, the risk of failure, irrespective of the cause, and the
relative risk of a certain cause of failure, given a failure occurred.
Covariates may affect each of these components. An appealing aspect of the
method is that it is a natural extension to competing risks of the
semi-parametric mixture cure model in ordinary survival analysis; thus, causes
of failure are assigned only if a failure occurs. This contrasts with the
existing mixture cure model for competing risks of Larson and Dinse, which
conditions at the onset on the future status presumably attained. Regression
parameter estimates are obtained using an EM-algorithm. The performance of the
estimators is evaluated in a simulation study. The method is illustrated using
a melanoma cancer data set.

20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
1
The categories of this paper are: cs