1 citations · 1 across the 3 of their papers we have counts for
3 papers
Demystifying estimands in cluster-randomised trials
Brennan C Kahan, Bryan Blette, Michael Harhay +4
Estimands can help clarify the interpretation of treatment effects and ensure that estimators are aligned to the study's objectives. Cluster randomised trials require additional at…
Improving clinical trial interpretation with ACCEPT analyses
Michelle N. Clements, Ian R. White, Andrew J. Copas +7
Effective decision making from randomised controlled clinical trials relies on robust interpretation of the numerical results. However, the language we use to describe clinical tri…
Handling an uncertain control group event risk in non-inferiority trials: non-inferiority frontiers and the power-stabilising transformation
Matteo Quartagno, A. Sarah Walker, Abdel G. Babiker +4
Background. Non-inferiority (NI) trials are increasingly used to evaluate new treatments expected to have secondary advantages over standard of care, but similar efficacy on the pr…