Methods for subgroup identification / personalized medicine / individualized treatment rules
Code associated with the paper "Exploring Subgroup Performance in End-to-End Speech Models", accepted at ICASSP 2023
An R package for robust subgroup analysis and variable selection.
Adaptation of Virtual Twins method from Jared Foster
An R Package to Fit and Tune to Models to Detect Treatment Effect Heterogeneity
Multiple Responses Subgroup Identification
Ex🪐plain: a model-agnostic framework to identify and describe exoplanetary characteristics that challenge atmospheric parameterization.
This repo contains the code for "Towards Comprehensive Subgroup Performance Analysis in Speech Models"
Review: Data-driven methodology for detecting treatment effect heterogeneity
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