1 citations · 1 across the 6 of their papers we have counts for
8 papers · 1 filter
Combining Real-World and Randomized Control Trial Data Using Data-Adaptive Weighting via the On-Trial Score
Joanna Harton, Brian Segal, Ronac Mamtani +2
Clinical trials with a hybrid control arm (a control arm constructed from a combination of randomized patients and real-world data on patients receiving usual care in standard clin…
Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach
Nicholas Illenberger, Andrew J. Spieker, Nandita Mitra
Health policy decisions regarding patient treatment strategies require consideration of both treatment effectiveness and cost. Optimizing treatment rules with respect to effectiven…
A regression framework for a probabilistic measure of cost-effectiveness
Nicholas Illenberger, Nandita Mitra, Andrew J. Spieker
To make informed health policy decisions regarding a treatment, we must consider both its cost and its clinical effectiveness. In past work, we introduced the net benefit separatio…
Doubly Robust Nonparametric Instrumental Variable Estimators for Survival Outcomes
Youjin Lee, Edward H. Kennedy, Nandita Mitra
Instrumental variable (IV) methods allow us the opportunity to address unmeasured confounding in causal inference. However, most IV methods are only applicable to discrete or conti…
Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
Arman Oganisian, Nandita Mitra, Jason Roy
Cost-effectiveness analyses (CEAs) are at the center of health economic decision making. While these analyses help policy analysts and economists determine coverage, inform policy,…
Net benefit separation and the determination curve: a probabilistic framework for cost-effectiveness estimation
Andrew J. Spieker, Nicholas Illenberger, Jason A. Roy +1
Considerations regarding clinical effectiveness and cost are essential in comparing the overall value of two treatments. There has been growing interest in methodology to integrate…