Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hierarchical causal variance decomposition for institution and provider
  comparisons in healthcare   Disease-specific quality indicators (QIs) are used to compare institutions
and health care providers in terms processes or outcomes relevant to treatment
of a particular condition. In the context of surgical cancer treatments, the
performance variations can be due to hospital and/or surgeon level differences,
creating a hierarchical clustering. We consider how the observed variation in
care received at patient level can be decomposed into that causally explained
by the hospital performance, surgeon performance within hospital, patient
case-mix, and unexplained (residual) variation. For this purpose, we derive a
four-way variance decomposition, with particular attention to the causal
interpretation of the components. For estimation, we use inputs from a
mixed-effect model with nested random hospital/surgeon-specific effects, and a
multinomial logistic model for the hospital/surgeon-specific patient
populations. We investigate the performance of our methods in a simulation
study.

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The categories of this paper are: cond-mat
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The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
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The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: astro-ph
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The categories of this paper are: supr-con
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The categories of this paper are: adap-org
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The categories of this paper are: math-ph
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The categories of this paper are: physics
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The categories of this paper are: hep-lat
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The categories of this paper are: cmp-lg