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.
Ex🪐plain: a model-agnostic framework to identify and describe exoplanetary characteristics that challenge atmospheric parameterization.
An R Package to Fit and Tune to Models to Detect Treatment Effect Heterogeneity
Multiple Responses Subgroup Identification
Adaptation of Virtual Twins method from Jared Foster
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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