Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding   We present a method for assessing the sensitivity of the true causal effect
to unmeasured confounding. The method requires the analyst to set two intuitive
parameters. Otherwise, the method is assumption-free. The method returns an
interval that contains the true causal effect, and whose bounds are arbitrarily
sharp, i.e. practically attainable. We show experimentally that our bounds can
be tighter than those obtained by the method of Ding and VanderWeele (2016a)
which, moreover, requires to set one more parameter than our method. Finally,
we extend our method to bound the natural direct and indirect effects when
there are measured mediators and unmeasured exposure-outcome confounding.

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The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
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The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
2
The categories of this paper are: math