README.md

In lmmontoya/SL.ODTR: SuperLearner Estimation and Evaluation of ODTR

SL.ODTR

Estimation (using SuperLearner) and evaluation (using g-computation, IPTW, TMLE, CV-TMLE estimation) of the optimal dynamic treatment rule.

devtools::install_github("lmmontoya/SL.ODTR")

Key references: 1. Montoya LM, van der Laan MJ, Luedtke AR, Skeem JL, Coyle JR, Petersen ML. The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions. The International Journal of Biostatistics. 2022 Jun 16. 2. Montoya LM, van der Laan MJ, Skeem JL, Petersen ML. Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions. The International Journal of Biostatistics. 2022 Jun 6. 3. Luedtke AR, van der Laan MJ. Super-learning of an optimal dynamic treatment rule. The international journal of biostatistics. 2016 May 1;12(1):305-32. 4. van der Laan MJ, Luedtke AR. Targeted learning of the mean outcome under an optimal dynamic treatment rule. Journal of causal inference. 2015 Mar 1;3(1):61-95. 5. Coyle JR. Computational considerations for Targeted learning. University of California, Berkeley; 2017. 6. Luedtke AR, van der Laan MJ. Optimal individualized treatments in resource-limited settings. The international journal of biostatistics. 2016 May 1;12(1):283-303.

lmmontoya/SL.ODTR documentation built on Feb. 24, 2024, 10:46 a.m.