Discussion of 'Estimating time-varying causal excursion effects in mobile health with binary outcomes'

被引：2
|
作者：
Zhang, Y. [1 ]
Laber, E. B. [2 ]
机构：
[1] Univ Rhode Isl, Dept Comp Sci & Stat, Kingston, RI 02881 USA
[2] Duke Univ, Dept Stat Sci, 214 Old Chem, Durham, NC 27708 USA
来源：
BIOMETRIKA | 2021年 / 108卷 / 03期
基金：
美国国家卫生研究院;
关键词：
D O I：
10.1093/biomet/asaa105
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this discussion, we examine the contributions of Qian et al. (2021) and potential applications of the newly developed estimator for the causal excursion effect in binary outcome data. Specifically, we consider extension of their method to count outcomes and observational data, propose an alternative use of their method for analysing excursion effect trajectories and discuss ways of improving estimator efficiency. © 2021 Biometrika Trust.
引用
收藏
页码：535 / 539
页数：5
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