31 citations · 194 across the 34 of their papers we have counts for
4 papers · 1 filter
More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials
Reagan Mozer, Luke Miratrix
For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of intere…
Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
JoonHo Lee, Jonathan Che, Sophia Rabe-Hesketh +2
In multisite trials, researchers are often interested in several inferential goals: estimating treatment effects for each site, ranking these effects, and studying their distributi…
Leveraging text data for causal inference using electronic health records
Reagan Mozer, Aaron R. Kaufman, Leo A. Celi +1
In studies that rely on data from electronic health records (EHRs), unstructured text data such as clinical progress notes offer a rich source of information about patient characte…
Improving instrumental variable estimators with post-stratification
Nicole E. Pashley, Luke Keele, Luke W. Miratrix
Experiments studying get-out-the-vote (GOTV) efforts estimate the causal effect of various mobilization efforts on voter turnout. However, there is often substantial noncompliance…