932 citations · 1.4k across the 10 of their papers we have counts for
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stat.ME2020★ 1 cited
Implementing multiple imputation for missing data in longitudinal studies when models are not feasible: A tutorial on the random hot deck approach
Chinchin Wang, Tyrel Stokes, Russell Steele +2
Objective: Researchers often use model-based multiple imputation to handle missing at random data to minimize bias while making the best use of all available data. However, there a…
stat.ME2020
Causal Simulation Experiments: Lessons from Bias Amplification
Tyrel Stokes, Russell Steele, Ian Shrier
Recent theoretical work in causal inference has explored an important class of variables which, when conditioned on, may further amplify existing unmeasured confounding bias (bias…