Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Versatile Estimation Procedure without Estimating the Nonignorable
  Missingness Mechanism   We consider the estimation problem in a regression setting where the outcome
variable is subject to nonignorable missingness and identifiability is ensured
by the shadow variable approach. We propose a versatile estimation procedure
where modeling of missingness mechanism is completely bypassed. We show that
our estimator is easy to implement and we derive the asymptotic theory of the
proposed estimator. We also investigate some alternative estimators under
different scenarios. Comprehensive simulation studies are conducted to
demonstrate the finite sample performance of the method. We apply the estimator
to a children's mental health study to illustrate its usefulness.

6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg