In adaptive clinical trials, the conventional end-of-trial point estimat...
Modern data analysis frequently involves large-scale hypothesis testing,...
When using multi-armed bandit algorithms, the potential impact of missin...
Platform trials evaluate multiple experimental treatments under a single...
Recent FDA guidance on adaptive clinical trial designs defines bias as "...
Adapting the final sample size of a trial to the evidence accruing durin...
Sample size derivation is a crucial element of the planning phase of any...
Response-adaptive randomization (RAR) is part of a wider class of
data-d...
When simultaneously testing multiple hypotheses, the usual approach in t...
Modern biomedical research frequently involves testing multiple related
...
Response-adaptive designs allow the randomization probabilities to chang...