WebNov 30, 2024 · Description Dynamic treatment regime estimation and inference via G-estimation, ... Imports graphics, stats, utils RoxygenNote 5.0.1 NeedsCompilation no Repository CRAN Date/Publication 2024-08-30 20:19:41 UTC ... (2015) Doubly-Robust Dynamic Treatment Regimen Estimation Via Weighted Least Squares. Biometrics … WebDynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted …
CRAN - Package DTRlearn
WebDefinition: A Dynamic Treatment Regimen is I a sequence of individually tailored decision rules I that specify whether, how, or when I and based on which measures I to alter the dosage (duration, frequency or amount), type, or delivery I at critical decision points in the course of care. Dynamic Treatment Regimens (DTRs) help guide the type of WebTitle Statistical Learning Methods for Optimizing Dynamic Treatment Regimes Version 1.1 Author Yuan Chen, Ying Liu, Donglin Zeng, Yuanjia Wang Maintainer Yuan Chen Description We provide a comprehensive software to estimate general K-stage DTRs from SMARTs with Q-learning and a variety of outcome … birth date moon phase jewelry
smartDesign DTR Tutorial - cran.r-project.org
WebJul 23, 2024 · 2 DTRlearn-package Index 21 DTRlearn-package Dynamic Treatment Regimens Learning Description Dynamic treatment regimens (DTRs) are sequential decision rules tailored at each stage by time- varying subject-specific features and intermediate outcomes observed in previous stages. WebMar 5, 2024 · In listdtr: List-Based Rules for Dynamic Treatment Regimes. Description Usage Arguments Details Value References See Also Examples. View source: R/dtr.R. … WebDynamic Treatment Regimen (DTR) Trial design clinical trial calculations Usage smartDTR(mu_Barm=cbind(G1=c(30,25), G0=c(20,20)), sigsq_Barm=cbind(G1=c(100,100), G0=c(100,100)), nsubject=500, Barm=c(1,3), type="continuous", sens=seq(0.5,1, by=0.1), spec=seq(0.5, 1, by=0.1), daniels hilton head island sc