Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Relaxed covariate overlap and margin-based causal effect estimation   In most nonrandomized observational studies, differences between treatment
groups may arise not only due to the treatment but also because of the effect
of confounders. Therefore, causal inference regarding the treatment effect is
not as straightforward as in a randomized trial. To adjust for confounding due
to measured covariates, a variety of methods based on the potential outcomes
framework are used to estimate average treatment effects. One of the key
assumptions is treatment positivity, which states that the probability of
treatment is bounded away from zero and one for any possible combination of the
confounders. Methods for performing causal inference when this assumption is
violated are relatively limited. In this article, we discuss a new
balance-related condition involving the convex hulls of treatment groups, which
I term relaxed covariate overlap. An advantage of this concept is that it can
be linked to a concept from machine learning, termed the margin. Introduction
of relaxed covariate overlap leads to an approach in which one can perform
causal inference in a three-step manner. The methodology is illustrated with
two examples.

19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph