A mixed model approach to estimate the survivor average causal effect in cluster‐randomized trials
In many medical studies, the outcome measure (such as quality of life, QOL) for some study
participants becomes informatively truncated (censored, missing, or unobserved) due to …
participants becomes informatively truncated (censored, missing, or unobserved) due to …
A note on “Simple graphical rules to assess selection bias in general-population and selected-sample treatment effects" by MB Mathur and I. Shpitser
E Stanghellini, M Doretti, T Tezuka - American Journal of …, 2024 - academic.oup.com
This short note is a commentary on the paper by Mathur and Shpitser (2024), with the aim to
enlarge the class of graphs for which the conditional Average Treatment Effect is …
enlarge the class of graphs for which the conditional Average Treatment Effect is …
Randomized in error in pragmatic clinical trials
Background Pragmatic trials that combine electronic health record data and patient-reported
data may be subject to selection bias due to the differential post-randomization exclusion of …
data may be subject to selection bias due to the differential post-randomization exclusion of …
Weighting methods for truncation by death in cluster-randomized trials
Patient-centered outcomes, such as quality of life and length of hospital stay, are the focus in
a wide array of clinical studies. However, participants in randomized trials for elderly or …
a wide array of clinical studies. However, participants in randomized trials for elderly or …