Even with the publication of ICVH E9(R1) and so may efforts globally for explaining and implementing the estimand framework, too often statisticians, and clinical researchers in general, focus their efforts on how to handle incomplete data, which is my term for the missing or confounded data created by so-called intercurrent events. Let’s get the focus on the clinical question of interest.
Tag: health
No. 24: Estimands Part 1 – Just Do ITT?
Randomization and complete data on the randomized experimental units are needed for cause-and-effect inference. What happens when that logic is broken?
