51 citations · 54 across the 7 of their papers we have counts for
7 papers
Estimation of treatment policy estimands for continuous outcomes using off treatment sequential multiple imputation
Thomas Drury, Juan J Abellan, Nicky Best +1
The estimands framework outlined in ICH E9 (R1) describes the components needed to precisely define the effects to be estimated in clinical trials, which includes how post-baseline…
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)…
A comparison of strategies for selecting auxiliary variables for multiple imputation
Rheanna M. Mainzer, Cattram D. Nguyen, John B. Carlin +3
Multiple imputation (MI) is a popular method for handling missing data. Auxiliary variables can be added to the imputation model(s) to improve MI estimates. However, the choice of…
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 missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
S. Ghazaleh Dashti, Katherine J. Lee, Julie A. Simpson +3
Targeted Maximum Likelihood Estimation (TMLE) is increasingly used for doubly robust causal inference, but how missing data should be handled when using TMLE with data-adaptive app…
Planning a method for covariate adjustment in individually-randomised trials: a practical guide
Tim P. Morris, A. Sarah Walker, Elizabeth J. Williamson +1
Background: It has long been advised to account for baseline covariates in the analysis of confirmatory randomised trials, with the main statistical justifications being that this…
A causal modelling framework for reference-based imputation and tipping point analysis
Ian R. White, Royes Joseph, Nicky Best
We consider estimating the "de facto" or effectiveness estimand in a randomised placebo-controlled or standard-of-care-controlled drug trial with quantitative outcome, where partic…