Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Estimation of time-specific intervention effects on continuously
  distributed time-to-event outcomes by targeted maximum likelihood estimation   Targeted maximum likelihood estimation is a general methodology combining
flexible ensemble learning and semiparametric efficiency theory in a two-step
procedure for estimation of causal parameters. Proposed targeted maximum
likelihood procedures for survival and competing risks analysis have so far
focused on events taken values in discrete time. We here present a targeted
maximum likelihood estimation procedure for event times that take values in R+.
We focuson the estimation of intervention-specific mean outcomes with
stochastic interventions on a time-fixed treatment. For data-adaptive
estimation of nuisance parameters, we propose a new flexible highly adaptive
lasso estimation method for continuous-time intensities that can be implemented
with L1-penalized Poisson regression. In a simulation study the targeted
maximum likelihood estimator based on the highly adaptive lasso estimator
proves to be unbiased and achieve proper coverage in agreement with the
asymptotic theory and further displays efficiency improvements relative to a
Kaplan-Meier approach.

0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
1
The categories of this paper are: cs
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol