Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Privacy-preserving estimation of an optimal individualized treatment
  rule : A case study in maximizing time to severe depression-related outcomes   Estimating individualized treatment rules - particularly in the context of
right-censored outcomes - is challenging because the treatment effect
heterogeneity of interest is often small, thus difficult to detect. While this
motivates the use of very large datasets such as those from multiple health
systems or centres, data privacy may be of concern with participating data
centres reluctant to share individual-level data. In this case study on the
treatment of depression, we demonstrate an application of distributed
regression for privacy protection used in combination with dynamic weighted
survival modelling (DWSurv) to estimate an optimal individualized treatment
rule whilst obscuring individual-level data. In simulations, we demonstrate the
flexibility of this approach to address local treatment practices that may
affect confounding, and show that DWSurv retains its double robustness even
when performed through a (weighted) distributed regression approach. The work
is motivated by, and illustrated with, an analysis of treatment for unipolar
depression using the United Kingdom's Clinical Practice Research Datalink.

20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org