Abstract
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. Received May 2014.
Original language | English |
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Pages (from-to) | 1290-1300 |
Number of pages | 11 |
Journal | Electronic Journal of Statistics |
Volume | 8 |
DOIs | |
State | Published - 2014 |
Bibliographical note
Publisher Copyright:© 2014, Institute of Mathematical Statistics. All rights received.
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty