116 citations · 155 across the 16 of their papers we have counts for
8 papers · 1 filter
Adaptive Experimental Design Using Shrinkage Estimators
Evan T. R. Rosenman, Kristen B. Hunter
In multi-armed trials, adaptive designs are a popular way to increase estimation efficiency or identify optimal treatments. Several recent papers have proposed adaptive variants of…
Empirical Bayes Double Shrinkage for Combining Biased and Unbiased Causal Estimates
Evan T. R. Rosenman, Francesca Dominici, Luke Miratrix
Motivated by the proliferation of observational datasets and the need to integrate non-randomized evidence with randomized controlled trials, causal inference researchers have rece…
Designing Experiments Toward Shrinkage Estimation
Evan T. R. Rosenman, Luke Miratrix
We consider how increasingly available observational data can be used to improve the design of randomized controlled trials (RCTs). We seek to design a prospective RCT, with the in…
Recalibration of Predictive Models as Approximate Probabilistic Updates
Evan T. R. Rosenman, Santiago Olivella
The output of predictive models is routinely recalibrated by reconciling low-level predictions with known derived quantities defined at higher levels of aggregation. For example, m…
Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics
Evan T. R. Rosenman, Rina Friedberg, Mike Baiocchi
We consider the problem of designing a prospective randomized trial in which the outcome data will be self-reported, and will involve sensitive topics. Our interest is in misreport…
Designing Experiments Informed by Observational Studies
Evan Rosenman, Art B. Owen
The increasing availability of passively observed data has yielded a growing methodological interest in "data fusion." These methods involve merging data from observational and exp…
Combining Observational and Experimental Datasets Using Shrinkage Estimators
Evan Rosenman, Guillaume Basse, Art Owen +1
We consider the problem of combining data from observational and experimental sources to make causal conclusions. This problem is increasingly relevant, as the modern era has yield…
Propensity Score Methods for Merging Observational and Experimental Datasets
Evan Rosenman, Art B. Owen, Michael Baiocchi +1
This project considers how one might augment a limited amount of data from randomized controlled trial (RCT) with more plentiful data from an observational database (ODB), in order…