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01/17/2023
Recoverability and estimation of causal effects under typical multivariable missingness mechanisms
In the context of missing data, the identifiability or "recoverability" ...
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10/20/2022
Evaluation of multiple imputation to address intended and unintended missing data in case-cohort studies with a binary endpoint
Case-cohort studies are conducted within cohort studies, wherein collect...
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08/12/2022
Statistical analyses of ordinal outcomes in randomised controlled trials: protocol for a scoping review
Randomised controlled trials aim to assess the impact of one (or more) h...
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03/30/2022
A comparison of strategies for selecting auxiliary variables for multiple imputation
Multiple imputation (MI) is a popular method for handling missing data. ...
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03/24/2022
Making SMART decisions in prophylaxis and treatment studies
The optimal prophylaxis, and treatment if the prophylaxis fails, for a d...
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12/10/2021
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
Causal inference from longitudinal studies is central to epidemiologic r...
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10/30/2020
Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data
Three-level data structures arising from repeated measures on individual...
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04/29/2020
