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07/13/2023
Learn-As-you-GO (LAGO) Trials: Optimizing Treatments and Preventing Trial Failure Through Ongoing Learning
It is well known that changing the intervention package while a trial is...
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02/22/2023
Causal inference with misspecified interference structure
Interference occurs when the potential outcomes of a unit depend on the ...
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06/01/2022
The Subtype-Free Average Causal Effect for Heterogeneous Disease Etiology
Studies have shown that the effect an exposure may have on a disease can...
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02/24/2022
A sensitivity analysis approach for the causal hazard ratio in randomized and observational studies
The Hazard Ratio (HR) is often reported as the main causal effect when s...
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10/19/2021
A matching framework for truncation by death problems
Even in a carefully designed randomized trial, outcomes for some study p...
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10/09/2020
Causal inference for semi-competing risks data
An emerging challenge for time-to-event data is studying semi-competing ...
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07/08/2020
Modeling semi-competing risks data as a longitudinal bivariate process
The Adult Changes in Thought (ACT) study is a long-running prospective s...
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04/26/2020
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias
Common methods for interpreting neural models in natural language proces...
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08/20/2018
Analysis of "Learn-As-You-Go" (LAGO) Studies
In learn-as-you-go (LAGO) adaptive designs, the intervention is a packag...
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01/04/2018