Telehealth analysis: an R program example for using the randomForestSRC package
Maintainer: Min Lu <m.lu6@umiami.edu>
Cite as
H. Ishwaran, M. Lu, and U. B. Kogalur. 2021. “randomForestSRC: getting started with randomForestSRC vignette.” http://randomforestsrc.org/articles/getstarted.html
This repository contains the basic R code for conducting a complete analysis using a Random Forest Model illustrated by the data and R code from Lu and Liao (2022). There are three basic steps:
- Step 1: Impute Missing Data & Tuning Parameters
- Step 2: Fitting a Random Forest Model
- Step 3: Variable Importance w/wo Interaction Detection
For more complex problems such as survival analysis, class-imbalanced classifier, competing risks, etc, please check our workflow and vignettes
Lu M. and Liao X. (2023). Telehealth Utilization in U.S. Medicare Beneficiaries Aged 65 Years and Older During the COVID-19 Pandemic. BMC Public Health. 23:368-382.