Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient Estimation of the Additive Risks Model for Interval-Censored
  Data   In contrast to the popular Cox model which presents a multiplicative
covariate effect specification on the time to event hazards, the semiparametric
additive risks model (ARM) offers an attractive additive specification,
allowing for direct assessment of the changes or the differences in the hazard
function for changing value of the covariates. The ARM is a flexible model,
allowing the estimation of both time-independent and time-varying covariates.
It has a nonparametric component and a regression component identified by a
finite-dimensional parameter. This chapter presents an efficient approach for
maximum-likelihood (ML) estimation of the nonparametric and the
finite-dimensional components of the model via the minorize-maximize (MM)
algorithm for case-II interval-censored data. The operating characteristics of
our proposed MM approach are assessed via simulation studies, with illustration
on a breast cancer dataset via the R package MMIntAdd. It is expected that the
proposed computational approach will not only provide scalability to the ML
estimation scenario but may also simplify the computational burden of other
complex likelihoods or models.

29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
1
The categories of this paper are: cs
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex