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09/13/2023
Empirical Bayes Double Shrinkage for Combining Biased and Unbiased Causal Estimates
Motivated by the proliferation of observational datasets and the need to...
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08/14/2023
Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
In multisite trials, statistical goals often include obtaining individua...
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06/09/2023
Leveraging text data for causal inference using electronic health records
Text is a ubiquitous component of medical data, containing valuable info...
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05/17/2022
Benefits and costs of matching prior to a Difference in Differences analysis when parallel trends does not hold
The Difference in Difference (DiD) estimator is a popular estimator buil...
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04/14/2022
Designing Experiments Toward Shrinkage Estimation
We consider how increasingly available observational data can be used to...
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12/31/2021
Power Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes
For randomized controlled trials (RCTs) with a single intervention being...
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11/02/2021
Leveraging Population Outcomes to Improve the Generalization of Experimental Results
Generalizing causal estimates in randomized experiments to a broader tar...
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03/26/2021
Is it who you are or where you are? Accounting for compositional differences in cross-site treatment variation
Multisite trials, in which treatment is randomized separately in multipl...
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01/22/2021
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
Randomization (a.k.a. permutation) inference is typically interpreted as...
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07/17/2020
Hospital Quality Risk Standardization via Approximate Balancing Weights
Comparing outcomes across hospitals, often to identify underperforming h...
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02/13/2020
Using Simulation to Analyze Interrupted Time Series Designs
We are sometimes forced to use the Interrupted Time Series (ITS) design ...
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10/15/2019
Lurking Inferential Monsters? Quantifying bias in non-experimental evaluations of school programs
This study examines whether unobserved factors substantially bias educat...
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07/11/2018
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?
Most research on regression discontinuity designs (RDDs) has focused on ...
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02/03/2018
Randomization Tests that Condition on Non-Categorical Covariate Balance
A benefit of randomized experiments is that covariate distributions of t...
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01/02/2018
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
How should one perform matching in observational studies when the units ...
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01/12/2017
Prior matters: simple and general methods for evaluating and improving topic quality in topic modeling
Latent Dirichlet Allocation (LDA) models trained without stopword remova...
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11/20/2015