Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects   Federated learning of causal estimands may greatly improve estimation
efficiency by leveraging data from multiple study sites, but robustness to
heterogeneity and model mis-specifications is vital for ensuring validity. We
develop a Federated Adaptive Causal Estimation (FACE) framework to incorporate
heterogeneous data from multiple sites to provide treatment effect estimation
and inference for a flexibly specified target population of interest. FACE
accounts for site-level heterogeneity in the distribution of covariates through
density ratio weighting. To safely incorporate source sites and avoid negative
transfer, we introduce an adaptive weighting procedure via a penalized
regression, which achieves both consistency and optimal efficiency. Our
strategy is communication-efficient and privacy-preserving, allowing
participating sites to only share summary statistics once with other sites. We
conduct both theoretical and numerical evaluations of FACE, and apply it to
conduct a comparative effectiveness study of BNT162b2 (Pfizer) and mRNA-1273
(Moderna) vaccines on COVID-19 outcomes in U.S. veterans using electronic
health records from five VA regional sites. We show that compared to
traditional methods, FACE meaningfully increases the precision of treatment
effect estimates, with reductions in standard errors ranging from $26\%$ to
$67\%$.

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The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
1
The categories of this paper are: cs
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th