Subgroup Identification and Precision Medicine with the {personalized} R Package
Channel: R Consortium
Date: 2021-08-31

Jared Huling with the University of Minnesota School of Public Health presents on using the {personalized} R Package to personalize treatment decisions. Huling, starts the presentation by digging into the current process of precision medicine and health not  being a “one size fits all”. He then discusses the goal of the {personalized} R package by leveraging heterogeneity and matching patients with the right intentions. Huling also covers the goal of personalizing treatment decisions, defining prosperity score model, predictors, and efficiency augmentation. 

Originally presented at R/Medicine 2021 by Jared Huling
https://r-medicine.org

Main Sections

0:00 Introduction
0:15 Precision medicine and health
2:40 Prognostic vs. predictive variables 
3:51 Goals for personalizing treatment decisions
8:05 Weighting an A-learning to estimate
11:03 Define propensity score model
11:33 Estimate scoring functions with fit subgroup 
12:47 Predictions of subgroup 
13:13 Predictions of conditional treatment effects
13:29 Validation of scoring functions
18:17 Step 1b: Efficiency augmentation 
18:26 Workflow 
19:13 Resources 

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