Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Covid-19 risk factors: Statistical learning from German healthcare
  claims data   We analyse prior risk factors for severe, critical or fatal courses of
Covid-19 based on a retrospective cohort using claims data of the AOK Bayern.
As our main methodological contribution, we avoid prior grouping and
pre-selection of candidate risk factors. Instead, fine-grained hierarchical
information from medical classification systems for diagnoses, pharmaceuticals
and procedures are used, resulting in more than 33,000 covariates. Our approach
has better predictive ability than well-specified morbidity groups but does not
need prior subject-matter knowledge. The methodology and estimated coefficients
are made available to decision makers to prioritize protective measures towards
vulnerable subpopulations and to researchers who like to adjust for a large set
of confounders in studies of individual risk factors.

21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
1
The categories of this paper are: cs
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
2
The categories of this paper are: math
18
The categories of this paper are: econ