Comment on "Dynamic treatment regimes: technical challenges and applications"

TitleComment on "Dynamic treatment regimes: technical challenges and applications"
Publication TypeJournal Article
Year of Publication2014
AuthorsGoldberg, Yair, Rui Song, Donglin Zeng, and Michael R. Kosorok
JournalElectron J Stat
Date Published2014

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.

Alternate JournalElectron J Stat
Original PublicationComment on "Dynamic treatment regimes: Technical challenges and applications"
PubMed ID25485028
PubMed Central IDPMC4255986
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States