Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Check propensity score overlap
Creation of augmentation functions
Creation of propensity fitting function
Fitting subgroup identification models
Plotting results for fitted subgroup identification models
Plot a comparison results for fitted or validated subgroup identificat...
Function to predict either benefit scores or treatment recommendations
Printing individualized treatment effects
Printing results for fitted subgroup identification models
Computes treatment effects within various subgroups
Summarizing covariates within estimated subgroups
Summary of results for fitted subgroup identification models
Calculation of covariate-conditional treatment effects
Validating fitted subgroup identification models
Fit weighted kernel svm model.
Provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies and is described in detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.
Useful links