Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Hierarchical Factor Regression Models to Infer Cause of Death
  From Verbal Autopsy Data   In low-resource settings where vital registration of death is not routine it
is often of critical interest to determine and study the cause of death (COD)
for individuals and the cause-specific mortality fraction (CSMF) for
populations. Post-mortem autopsies, considered the gold standard for COD
assignment, are often difficult or impossible to implement due to deaths
occurring outside the hospital, expense, and/or cultural norms. For this
reason, Verbal Autopsies (VAs) are commonly conducted, consisting of a
questionnaire administered to next of kin recording demographic information,
known medical conditions, symptoms, and other factors for the decedent. This
article proposes a novel class of hierarchical factor regression models that
avoid restrictive assumptions of standard methods, allow both the mean and
covariance to vary with COD category, and can include covariate information on
the decedent, region, or events surrounding death. Taking a Bayesian approach
to inference, this work develops an MCMC algorithm and validates the FActor
Regression for Verbal Autopsy (FARVA) model in simulation experiments. An
application of FARVA to real VA data shows improved goodness-of-fit and better
predictive performance in inferring COD and CSMF over competing methods. Code
and a user manual are made available at https://github.com/kelrenmor/farva.

3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
1
The categories of this paper are: cs
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ