A toolkit for stratified medicine, subgroup identification, and precision medicine.
Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate
models (counterfactual patient-level quantities, such as the conditional average treatment effect),
(3) subgroup identification models (find subsets of patients with similar treatment effects),
and (4) treatment effect estimation and inference (for the overall population and discovered
subgroups). These tools can be customized and are directly used in PRISM
(patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019