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: | 3.0.0 |
| Imports: | Rcpp (≥ 1.0.4),fda, splines,survival,locpol,dfoptim |
| LinkingTo: | Rcpp |
| Suggests: | mvtnorm,sigmoid |
| Published: | 2024-11-19 |
| DOI: | 10.32614/CRAN.package.CSTE |
| 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:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=CSTEto link to this page.