1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2022
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…
stat.ME2022★ 1 cited
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…