%0 Journal Article
%T Comments on "sensitivity of estimands in clinical trials with imperfect compliance" by Chen and Heitjan.
%A Baker SG
%A Lindeman KS
%J Int J Biostat
%V 0
%N 0
%D 2024 Jul 29
%M 39069742
%F 1.829
%R 10.1515/ijb-2023-0127
%X 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.