Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Likelihood approach for marginal proportional hazards regression in the
  presence of dependent censoring   In many public health problems, an important goal is to identify the effect
of some treatment/intervention on the risk of failure for the whole population.
A marginal proportional hazards regression model is often used to analyze such
an effect. When dependent censoring is explained by many auxiliary covariates,
we utilize two working models to condense high-dimensional covariates to
achieve dimension reduction. Then the estimator of the treatment effect is
obtained by maximizing a pseudo-likelihood function over a sieve space. Such an
estimator is shown to be consistent and asymptotically normal when either of
the two working models is correct; additionally, when both working models are
correct, its asymptotic variance is the same as the semiparametric efficiency
bound.

37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph