Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CauchyCP: a powerful test under non-proportional hazards using Cauchy
  combination of change-point Cox regressions   Non-proportional hazards data are routinely encountered in randomized
clinical trials. In such cases, classic Cox proportional hazards model can
suffer from severe power loss, with difficulty in interpretation of the
estimated hazard ratio since the treatment effect varies over time. We propose
CauchyCP, an omnibus test of change-point Cox regression models, to overcome
both challenges while detecting signals of non-proportional hazards patterns.
Extensive simulation studies demonstrate that, compared to existing treatment
comparison tests under non-proportional hazards, the proposed CauchyCP test 1)
controls the type I error better at small $\alpha$ levels ($< 0.01$); 2)
increases the power of detecting time-varying effects; and 3) is more
computationally efficient. The superior performance of CauchyCP is further
illustrated using retrospective analyses of two randomized clinical trial
datasets and a pharmacogenetic biomarker study dataset. The R package
$\textit{CauchyCP}$ is publicly available on CRAN.

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The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
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The categories of this paper are: eess
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
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The categories of this paper are: mtrl-th