Dynamic Treatment Regimes

Starting Resources

Overview article: Kosorok, M. R., & Laber, E. B. (2019). Precision medicine. Annual review of statistics and its application, 6, 263-286. https://www.annualreviews.org/doi/full/10.1146/annurev-statistics-030718-105251
For clinicians: Moodie, Erica EM, and Elizabeth F. Krakow. "Precision medicine: Statistical methods for estimating adaptive treatment strategies." (2020): 1890-1896.
Precision Medicine class lectures and resources: https://mkosorok.web.unc.edu/teaching-and-mentoring/
Textbook: Kosorok & Moodie - Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine link (UNC proxy, will need to log in to Onyen)

Murphy, Susan A. "Optimal dynamic treatment regimes." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65.2 (2003): 331-355. https://rss.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1467-9868.00389
Robins, James M. "Optimal structural nested models for optimal sequential decisions." Proceedings of the second seattle Symposium in Biostatistics. Springer, New York, NY, 2004.

Dynamic treatment regimes

Chakraborty, Bibhas. Statistical methods for dynamic treatment regimes. Springer, 2013.
Chakraborty, Bibhas, and Susan A. Murphy. "Dynamic treatment regimes." Annual review of statistics and its application 1 (2014): 447-464.
Lavori, Philip W., and Ree Dawson. "Dynamic treatment regimes: practical design considerations." Clinical trials 1.1 (2004): 9-20.
Zhao, Ying-Qi, and Eric B. Laber. "Estimation of optimal dynamic treatment regimes." Clinical Trials 11.4 (2014): 400-407.

Q- and A-learning

Moodie, Erica EM, Bibhas Chakraborty, and Michael S. Kramer. "Q?learning for estimating optimal dynamic treatment rules from observational data." Canadian Journal of Statistics 40.4 (2012): 629-645.
Schulte, Phillip J., et al. "Q-and A-learning methods for estimating optimal dynamic treatment regimes." Statistical science: a review journal of the Institute of Mathematical Statistics 29.4 (2014): 640.

Outcome Weighted Learning

Zhao, Yingqi, et al. "Estimating individualized treatment rules using outcome weighted learning." Journal of the American Statistical Association 107.499 (2012): 1106-1118.
Liu, Ying, et al. "Augmented outcome?weighted learning for estimating optimal dynamic treatment regimens." Statistics in medicine 37.26 (2018): 3776-3788.
Chen, Guanhua, Donglin Zeng, and Michael R. Kosorok. "Personalized dose finding using outcome weighted learning." Journal of the American Statistical Association 111.516 (2016): 1509-1521.
Zhao, Ying-Qi, et al. "New statistical learning methods for estimating optimal dynamic treatment regimes." Journal of the American Statistical Association 110.510 (2015): 583-598.

Marginal Structural Models

van der Laan, Mark J., and Maya L. Petersen. "Causal effect models for realistic individualized treatment and intention to treat rules." The international journal of biostatistics 3.1 (2007): Article3.
Robins, James, Liliana Orellana, and Andrea Rotnitzky. "Estimation and extrapolation of optimal treatment and testing strategies." Statistics in medicine 27.23 (2008): 4678-4721.

Classification and Tree-based Methods

Laber, Eric B., and Ying-Qi Zhao. "Tree-based methods for individualized treatment regimes." Biometrika 102.3 (2015): 501-514.
Zhang, Baqun, et al. "Estimating optimal treatment regimes from a classification perspective." Stat 1.1 (2012): 103-114.
Zhang, Baqun, and Min Zhang. "C?learning: A new classification framework to estimate optimal dynamic treatment regimes." Biometrics 74.3 (2018): 891-899.

SuperLearning

Luedtke, Alexander R., and Mark J. van der Laan. "Super-learning of an optimal dynamic treatment rule." The international journal of biostatistics 12.1 (2016): 305-332.
Montoya, Lina, et al. "The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application." arXiv preprint arXiv:2101.12326 (2021).

Evaluating Dynamic Treatment Regimes

Laber, Eric B., and Min Qian. "Evaluating personalized treatment regimes." Methods in Comparative Effectiveness Research (2017): 483-498.
Bembom, Oliver, and Mark J. van der Laan. "A practical illustration of the importance of realistic individualized treatment rules in causal inference." Electronic journal of statistics 1 (2007): 574.
van der Laan, Mark J., and Alexander R. Luedtke. "Targeted learning of the mean outcome under an optimal dynamic treatment rule." Journal of causal inference 3.1 (2015): 61-95.
Sies, Aniek, and Iven Van Mechelen. "Estimating the quality of optimal treatment regimes." Statistics in medicine 38.25 (2019): 4925-4938.
Montoya, Lina, et al. "Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule." arXiv preprint arXiv:2101.12333 (2021).