It is difficult to define the intention-to-treat (ITT) effect, and thereby the ITT estimand, since the use of the ITT approach can involve treating patients with many different treatments for many different time periods. Because of this mixture of treatment effects, the ITT approach is more of a...
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...
The word estimand has exploded into the vernacular of statistical thinking for clinical trials in the last decade or so. Where did it come from and why is it so important now? Welcome back to the sequel of Blog 24 – Estimands Part 1 – Just Do ITT? I will continue with some historical background...
Randomization and complete data on the randomized experimental units are needed for cause-and-effect inference. What happens when that logic is broken? Introduction For those who follow this blog, you may have noticed a rather long hiatus in blog entries. I have been absorbed in writing a...