Response to reader reaction

Affiliations

¹ School of Statistics, Renmin University of China, Beijing, China 100872
² Department of Statistics, North Carolina State University, Raleigh, North Carolina, 27695-8203, U.S.A

Comment

Baqun Zhang et al. Biometrics. 2015 Mar.

. 2015 Mar;71(1):267-273.

doi: 10.1111/biom.12229. Epub 2014 Oct 29.

¹ School of Statistics, Renmin University of China, Beijing, China 100872
² Department of Statistics, North Carolina State University, Raleigh, North Carolina, 27695-8203, U.S.A

No abstract available

Comment on

A robust method for estimating optimal treatment regimes.
Zhang B, Tsiatis AA, Laber EB, Davidian M. Zhang B, et al. Biometrics. 2012 Dec;68(4):1010-8. doi: 10.1111/j.1541-0420.2012.01763.x. Epub 2012 May 2. Biometrics. 2012. PMID: 22550953 Free PMC article.
Reader reaction to "a robust method for estimating optimal treatment regimes" by Zhang et al. (2012).
Taylor JMG, Cheng W, Foster JC. Taylor JMG, et al. Biometrics. 2015 Mar;71(1):267-273. doi: 10.1111/biom.12228. Epub 2014 Sep 16. Biometrics. 2015. PMID: 25228049 Free PMC article.

1. Breiman L, Freidman JL, Olshen RA, Stone CJ. Classification and Regression Trees. Belmont, California: Wadsworth; 1984.
1. Chakraborty B, Murphy S, Strecher V. Inference for non-regular parameters in optimal dynamic treatment regimes. Statistical Methods in Medical Research. 2010;19:317–343. - PMC - PubMed
1. Chakraborty B, Laber EB, Zhao YQ. Inference about the expected performance of a data-driven dynamic treatment regime. Clinical Trials. 2014;11:408–417. - PMC - PubMed
1. Cortes C, Vapnik V. Support-vector networks. Machine Learning. 1995;20:273–297.
1. Freund B, Schapire RE. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences. 1997;55:119–139.