Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximum Likelihood Estimation for Semiparametric Transformation Models
  with Interval-Censored Data   Interval censoring arises frequently in clinical, epidemiological, financial,
and sociological studies, where the event or failure of interest is known only
to occur within an interval induced by periodic monitoring. We formulate the
effects of potentially time-dependent covariates on the interval-censored
failure time through a broad class of semiparametric transformation models that
encompasses proportional hazards and proportional odds models. We consider
nonparametric maximum likelihood estimation for this class of models with an
arbitrary number of monitoring times for each subject. We devise an EM-type
algorithm that converges stably, even in the presence of time-dependent
covariates, and show that the estimators for the regression parameters are
consistent, asymptotically normal, and asymptotically efficient with an easily
estimated covariance matrix. Finally, we demonstrate the performance of our
procedures through extensive simulation studies and application to an HIV/AIDS
study conducted in Thailand.

23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex