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DTRreg (version 2.2)

DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)

Description

Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables. Wallace et al. (2017) ; Simoneau et al. (2020) .

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Version

Install

install.packages('DTRreg')

Monthly Downloads

327

Version

2.2

License

GPL-2

Maintainer

Shannon Holloway

Last Published

March 23rd, 2024

Functions in DTRreg (2.2)

predict.DTRreg

Optimal Outcome Prediction for DTRs
chooseM

Adaptive Choice of the Bootstrap Resample Size M
DTRreg

DTR Estimation and Inference via G-estimation, Dynamic WOLS, or Q-learning
plot.DTRreg

Diagnostic Plots for DTR Estimation
confint.DTRreg

Confidence Interval Calculations for DTRs
DWSurv

DTR estimation and inference for time-to-event data using DWSurv
data

Toy Two-Stage Trial Datasets