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CSTE (version 2.0.0)

Covariate Specific Treatment Effect (CSTE) Curve

Description

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.

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Version

Install

install.packages('CSTE')

Monthly Downloads

612

Version

2.0.0

License

GPL (>= 2)

Maintainer

Wenjie Hu

Last Published

December 16th, 2021

Functions in CSTE (2.0.0)

predict_cste_bin

Predict the CSTE curve of new data for binary outcome.
cste_bin_SCB

Calculate simultaneous confidence bands of CSTE curve for binary outcome.
cste_surv_SCB

Calculate simultaneous confidence bands (SCB) of CSTE curve for time to event outcome with right censoring.
tool

tool functions
cste_surv

Estimate the CSTE curve for time to event outcome with right censoring.
select_cste_bin

Select the optimal tuning parameters in CSTE estimation for binary outcome.
penC

Solve the penalized logistic regression.
cste_bin

Estimate the CSTE curve for binary outcome.