Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Competing Risks Regression for Clustered Data via the Marginal Additive
  Subdistribution Hazard Model   A population-averaged additive subdistribution hazard model is proposed to
assess the marginal effects of covariates on the cumulative incidence function
to analyze correlated failure time data subject to competing risks. This
approach extends the population-averaged additive hazard model by accommodating
potentially dependent censoring due to competing events other than the event of
interest. Assuming an independent working correlation structure, an estimating
equations approach is considered to estimate the regression coefficients and a
sandwich variance estimator is proposed. The sandwich variance estimator
accounts for both the correlations between failure times as well as the those
between the censoring times, and is robust to misspecification of the unknown
dependency structure within each cluster. We further develop goodness-of-fit
tests to assess the adequacy of the additive structure of the subdistribution
hazard for each covariate, as well as for the overall model. Simulation studies
are carried out to investigate the performance of the proposed methods in
finite samples; and we illustrate our methods by analyzing the STrategies to
Reduce Injuries and Develop confidence in Elders (STRIDE) study.

3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an