Open Access
2014 Comment on “Dynamic treatment regimes: Technical challenges and applications”
Yair Goldberg, Rui Song, Donglin Zeng, Michael R. Kosorok
Electron. J. Statist. 8(1): 1290-1300 (2014). DOI: 10.1214/14-EJS905


Inference for parameters associated with optimal dynamic treatment regimes is challenging as these estimators are nonregular when there are non-responders to treatments. In this discussion, we comment on three aspects of alleviating this nonregularity. We first discuss an alternative approach for smoothing the quality functions. We then discuss some further details on our existing work to identify non-responders through penalization. Third, we propose a clinically meaningful value assessment whose estimator does not suffer from nonregularity.


Download Citation

Yair Goldberg. Rui Song. Donglin Zeng. Michael R. Kosorok. "Comment on “Dynamic treatment regimes: Technical challenges and applications”." Electron. J. Statist. 8 (1) 1290 - 1300, 2014.


Published: 2014
First available in Project Euclid: 20 August 2014

zbMATH: 1309.62171
MathSciNet: MR3263120
Digital Object Identifier: 10.1214/14-EJS905

Rights: Copyright © 2014 The Institute of Mathematical Statistics and the Bernoulli Society

Vol.8 • No. 1 • 2014
Back to Top