223 citations · 227 across the 7 of their papers we have counts for
7 papers
Evaluation of multiple imputation to address intended and unintended missing data in case-cohort studies with a binary endpoint
Melissa Middleton, Cattram Nguyen, John B. Carlin +2
Case-cohort studies are conducted within cohort studies, wherein collection of exposure data is limited to a subset of the cohort, leading to a large proportion of missing data by…
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…
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…
Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data
Rushani Wijesuriya, Margarita Moreno-Betancur, John B. Carlin +2
Three-level data structures arising from repeated measures on individuals clustered within larger units are common in health research studies. Missing data are prominent in such st…
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators
Margarita Moreno-Betancur, Paul Moran, Denise Becker +2
Many epidemiological questions concern potential interventions to alter the pathways presumed to mediate an association. For example, we consider a study that investigates the bene…
Bayesian modelling of lung function data from multiple-breath washout tests
Robert K. Mahar, John B. Carlin, Sarath Ranganathan +3
Paediatric respiratory researchers have widely adopted the multiple-breath washout (MBW) test because it allows assessment of lung function in unsedated infants and is well suited…
What Is Meant by "Missing at Random"?
Shaun Seaman, John Galati, Dan Jackson +1
The concept of missing at random is central in the literature on statistical analysis with missing data. In general, inference using incomplete data should be based not only on obs…