3 citations · 3 across the 4 of their papers we have counts for
4 papers
Combining covariate adjustment with information from secondary endpoints to improve precision in randomized trials
Jack M. Wolf, Joseph S. Koopmeiners, David M. Vock
Background/Aims: Adjustment for prognostic baseline covariates can improve precision in randomized trials. Previous work has shown that jointly modeling primary and secondary endpo…
Nonparametric Estimation of Optimal Stochastic Just-In-Time Adaptive Interventions for Distal Outcomes
Jack M. Wolf, Nandita Mitra, Ashkan Ertefaie
Mobile and wearable technologies enable the delivery of just-in-time adaptive interventions (JITAIs) -- interventions that adapt treatment delivery to an individual's rapidly chang…
Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials
Jack M. Wolf, Joseph S. Koopmeiners, David M. Vock
Randomized controlled trials are the gold standard for evaluating the efficacy of an intervention. However, there is often a trade-off between selecting the most scientifically rel…
Practical Guidance on Modeling Choices for the Virtual Twins Method
Chuyu Deng, David M. Vock, Dana M. Carroll +4
Individuals can vary drastically in their response to the same treatment, and this heterogeneity has driven the push for more personalized medicine. Accurate and interpretable meth…