A penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables when the response is continuous and censored. This method uses an inverse probability weighted least squares estimation with adaptive LASSO penalty for variable selection.
Estimates the mean response given a treatment regime if data is uncensored. If data is censored, estimates the restricted mean response given a treatment regime.
The DESCRIPTION file: Sexpr[results=rd,stage=build]{tools:::Rd_package_DESCRIPTION("OTRselect")} Sexpr[results=rd,stage=build]{tools:::Rd_package_indices("OTRselect")} Function censored performs variable selection for censored continuous response. Function uncensored performs variable selection for uncensored continuous response. Function Qhat estimates the restricted mean response given a treatment regime for censored data or the mean response given a treatment regime for uncensored data.
A penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables when the response is continuous and not censored. This method uses an inverse probability weighted least squares estimation with adaptive LASSO penalty for variable selection.