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09/13/2023
On the uses and abuses of regression models: a call for reform of statistical practice and teaching
When students and users of statistical methods first learn about regress...
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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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07/13/2022
Confounding-adjustment methods for the difference in medians
With continuous outcomes, the average causal effect is typically defined...
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06/22/2022
Causal inference in multi-cohort studies using the target trial approach
Longitudinal cohort studies have the potential to examine causal effects...
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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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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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07/15/2019
Defining mediation effects for multiple mediators using the concept of the target randomized trial
Causal mediation approaches have been primarily developed for the goal o...
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05/16/2018
