Stratified Medicine

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, for example the individual treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) parameter estimation and inference (for the overall population and discovered subgroups). These tools can directly feed into stratified medicine algorithms including PRISM (patient identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)). PRISM is a flexible and general framework which accepts user-created models/functions. This package is in beta and will be continually updated.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("StratifiedMedicine")

0.1.0 by Thomas Jemielita, a month ago


https://github.com/thomasjemielita/StratifiedMedicine


Browse source code at https://github.com/cran/StratifiedMedicine


Authors: Thomas Jemielita [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, partykit, rpart, ranger, BART, grf, survival, survRM2, glmnet, ggplot2, mvtnorm, coin, TH.data

Suggests knitr, rmarkdown, MASS


See at CRAN