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) and Guo et al. (2021). 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.


Reference manual

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2.0.0 by Wenjie Hu, a month ago

Browse source code at

Authors: Peng Wu [aut] , Wenjie Hu [aut, cre] , Yuhao Deng [aut] , Haoxiang Wang [aut] , Xiaohua Zhou [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, fda, splines, survival, locpol, dfoptim

Suggests mvtnorm, sigmoid

Linking to Rcpp

See at CRAN