3 papers
stat.ME2026
Tipping Point Sensitivity Analysis for Missing Data in Time-to-Event Endpoints: Model-Based and Ad hoc Approaches
Ajmal Oodally, Craig Wang, Zheng Li +3
Treatment policy estimands are frequently favored by regulators, as they assess the effect of treatment assignment regardless of post-randomization events. Despite best efforts, mi…
stat.ME2025
When do composite estimands answer non-causal questions?
Brennan C Kahan, Tra My Pham, Conor Tweed +1
Under a composite estimand strategy, the occurrence of the intercurrent event is incorporated into the endpoint definition, for instance by assigning a poor outcome value to patien…
stat.ME2025
A fully Bayesian approach for the imputation and analysis of derived outcome variables with missingness
Harlan Campbell, Tim Morris, Paul Gustafson
Derived variables are variables that are constructed from one or more source variables through established mathematical operations or algorithms. For example, body mass index (BMI)…