Comments on "sensitivity of estimands in clinical trials with imperfect compliance" by Chen and Heitjan

被引:0
|
作者
Baker, Stuart G. [1 ]
Lindeman, Karen S. [2 ]
机构
[1] NCI, Bethesda, MD 20892 USA
[2] Johns Hopkins Med Inst, Dept Anesthesiol, Baltimore, MD USA
关键词
complier average causal effect; local average treatment effect; paired availability design; noncompliance; principal stratification randomized trial; PAIRED AVAILABILITY DESIGN; IDENTIFICATION;
D O I
10.1515/ijb-2023-0127
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Chen and Heitjan (Sensitivity of estimands in clinical trials with imperfect compliance. Int J Biostat. 2023) used linear extrapolation to estimate the population average causal effect (PACE) from the complier average causal effect (CACE) in multiple randomized trials with all-or-none compliance. For extrapolating from CACE to PACE in this setting and in the paired availability design involving different availabilities of treatment among before-and-after studies, we recommend the sensitivity analysis in Baker and Lindeman (J Causal Inference, 2013) because it is not restricted to a linear model, as it involves various random effect and trend models.
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