Methods for subgroup identification / personalized medicine / individualized treatment rules
-
Updated
Sep 2, 2022 - R
Methods for subgroup identification / personalized medicine / individualized treatment rules
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.
Add a description, image, and links to the individualized-treatment-rules topic page so that developers can more easily learn about it.
To associate your repository with the individualized-treatment-rules topic, visit your repo's landing page and select "manage topics."