1 citations · 1 across the 5 of their papers we have counts for
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Hypothetical estimands in clinical trials: a unification of causal inference and missing data methods
Camila Olarte Parra, Rhian M. Daniel, Jonathan W. Bartlett
The ICH E9 addendum introduces the term intercurrent event to refer to events that happen after randomisation and that can either preclude observation of the outcome of interest or…
Reference based multiple imputation -- what is the right variance and how to estimate it
Jonathan W. Bartlett
Reference based multiple imputation methods have become popular for handling missing data in randomised clinical trials. Rubin's variance estimator is well known to be biased compa…
Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification
Jonathan W. Bartlett, Rachael A. Hughes
Multiple imputation has become one of the most popular approaches for handling missing data in statistical analyses. Part of this success is due to Rubin's simple combination rules…
Measurement error as a missing data problem
Ruth H. Keogh, Jonathan W. Bartlett
This article focuses on measurement error in covariates in regression analyses in which the aim is to estimate the association between one or more covariates and an outcome, adjust…
Robustness of ANCOVA in randomised trials with unequal randomisation
Jonathan W. Bartlett
Randomised trials with continuous outcomes are often analysed using ANCOVA, with adjustment for prognostic baseline covariates. In an article published recently, Wang \etal proved…
Covariate adjustment and prediction of mean response in randomised trials
Jonathan W. Bartlett
Analyses of randomised trials are often based on regression models which adjust for baseline covariates, in addition to randomised group. Based on such models, one can obtain estim…