Rejoinder: Optimal individualized decision rules using instrumental variable methods.

Rejoinder: Optimal individualized decision rules using instrumental variable methods.
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DOI:
10.1080/01621459.2020.1865166
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发表时间:
2021
影响因子:
3.7
通讯作者:
Luedtke, Alex
Luedtke, Alex
中科院分区:
数学1区
文献类型:
--
作者:
Qiu, Hongxiang;Carone, Marco;Sadikova, Ekaterina;Petukhova, Maria;Kessler, Ronald C.;Luedtke, Alex

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我们要感谢编辑们邀请我们对我们的文章进行讨论,并让我们有机会回应讨论者富有洞察力和鼓舞人心的评论。我们也感到荣幸的是,我们的作品与崔和切根·切根(2020)的杰出贡献一起被讨论。我们想提出另外三点来补充讨论。首先,我们注意到HAN(2020,假设A)中提供的在IV环境下识别最优个体化治疗规则的可选条件是重要和有用的,我们将其与Cui和Tchetgen Tchetgen(2020)和Qiu等人(2020)中的识别条件相结合,形成了较弱的联合条件。其次,我们讨论了HAN(2019)和Pu和Zhang(2020)在基于部分识别的IV环境下估计个体化治疗规则的方法,并提出了潜在的研究方向来补充现有的结果。最后,我们描述了一种估计最优个性化规则及其值的替代方法,该方法在相同的识别假设下在较弱的条件下是有效的。
We would like to thank the editors for soliciting a discussion of our article and for giving us the opportunity to respond to the discussants’ insightful and inspiring comments. We are also honored that our piece has been discussed alongside the excellent contribution of Cui and Tchetgen Tchetgen (2020). We would like to make three additional points to complement the discussions. First, we note that the alternative condition provided in Han (2020, Assumption A) for identifying optimal individualized treatment rules under an IV setting is important and useful, and we combine it with identifying conditions in Cui and Tchetgen Tchetgen (2020) and Qiu et al.(2020) to form a weaker union condition. Second, we discuss the methods proposed by Han (2019) and Pu and Zhang (2020) to estimate individualized treatment rules under an IV setting based on partial identification and propose potential research directions to complement the current results. Finally, we sketch an alternative approach to estimating optimal individualized rules and their values that is valid under weaker conditions under the same identifying assumptions.
DOI: 10.1214/10-aos864
发表时间: 2011-04-01
影响因子: 4.5
作者:
Qian M;Murphy SA
通讯作者: Murphy SA
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发表时间: 2007-04-01
影响因子: 4.5
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发表时间: 2021
影响因子: 3.7
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期刊: Annales de l'I.H.P. Probabilites et statistiques
影响因子: --
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通讯作者: Chambaz A
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发表时间: 2016-04-01
影响因子: 4.5
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