Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Drawing and Analyzing Causal DAGs with DAGitty   DAGitty is a software for drawing and analyzing causal diagrams, also known
as directed acyclic graphs (DAGs). Functions include identification of minimal
sufficient adjustment sets for estimating causal effects, diagnosis of
insufficient or invalid adjustment via the identification of biasing paths,
identification of instrumental variables, and derivation of testable
implications. DAGitty is provided in the hope that it is useful for researchers
and students in Epidemiology, Sociology, Psychology, and other empirical
disciplines. The software should run in any web browser that supports modern
JavaScript, HTML, and SVG. This is the user manual for DAGitty version 2.3. The
manual is updated with every release of a new stable version. DAGitty is
available at dagitty.net.

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The categories of this paper are: quant-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: supr-con
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The categories of this paper are: funct-an
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The categories of this paper are: atom-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg
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The categories of this paper are: stat
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-th
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The categories of this paper are: adap-org
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The categories of this paper are: gr-qc
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The categories of this paper are: mtrl-th