Abstract
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.
Original language | English (US) |
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Pages (from-to) | 435-436 |
Number of pages | 2 |
Journal | International Journal of Biostatistics |
Volume | 20 |
Issue number | 2 |
DOIs | |
State | Published - Nov 1 2024 |
Keywords
- complier average causal effect
- local average treatment effect
- noncompliance
- paired availability design
- principal stratification randomized trial
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty