CSTE: Covariate Specific Treatment Effect (CSTE) Curve
A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)<doi:10.1177/0962280214541724>
and Guo et al. (2021)<doi:10.1080/01621459.2020.1865167>. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
| Version: |
2.0.0 |
| Imports: |
Rcpp (≥ 1.0.4), fda, splines, survival, locpol, dfoptim |
| LinkingTo: |
Rcpp |
| Suggests: |
mvtnorm, sigmoid |
| Published: |
2021-12-16 |
| Author: |
Peng Wu [aut],
Wenjie Hu [aut, cre],
Yuhao Deng [aut],
Haoxiang Wang [aut],
Xiaohua Zhou [aut] |
| Maintainer: |
Wenjie Hu <huwenjie at pku.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
CSTE results |
Documentation:
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