51 citations · 54 across the 7 of their papers we have counts for
8 papers
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…
What is estimated in cluster randomized crossover trials with informative sizes? -- A survey of estimands and common estimators
Kenneth M. Lee, Andrew B. Forbes, Jessica Kasza +5
In the analysis of cluster randomized trials (CRTs), previous work has defined two meaningful estimands: the individual-average treatment effect (iATE) and cluster-average treatmen…
Model-robust standardization in cluster-randomized trials
Fan Li, Jiaqi Tong, Xi Fang +3
In cluster-randomized trials, generalized linear mixed models and generalized estimating equations have conventionally been the default analytic methods for estimating the average…
Semiparametric principal stratification analysis beyond monotonicity
Jiaqi Tong, Brennan Kahan, Michael O. Harhay +1
Intercurrent events, common in clinical trials and observational studies, affect the existence or interpretation of final outcomes. Principal stratification addresses this challeng…
Applying the estimands framework to non-inferiority trials: guidance on choice of hypothetical estimands for non-adherence and comparison of estimation methods
Katy E Morgan, Ian R White, Clémence Leyrat +2
A common concern in non-inferiority (NI) trials is that non adherence due, for example, to poor study conduct can make treatment arms artificially similar. Because intention to tre…
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…
Using modified intention-to-treat as a principal stratum estimator for failure to initiate treatment
Brennan C Kahan, Ian R White, Mark Edwards +1
Background: A common intercurrent event affecting many trials is when some participants do not begin their assigned treatment. Many trials use a modified intention-to-treat (mITT)…
How to design a pre-specified statistical analysis approach to limit p-hacking in clinical trials: the Pre-SPEC framework
Brennan C Kahan, Gordon Forbes, Suzie Cro
Results from clinical trials can be susceptible to bias if investigators choose their analysis approach after seeing trial data, as this can allow them to perform multiple analyses…