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06/30/2023
Design Sensitivity and Its Implications for Weighted Observational Studies
Sensitivity to unmeasured confounding is not typically a primary conside...
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02/21/2023
JOINTVIP: Prioritizing variables in observational study design with joint variable importance plot in R
Credible causal effect estimation requires treated subjects and controls...
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01/23/2023
Using Joint Variable Importance Plots to Prioritize Variables in Assessing the Impact of Glyburide on Adverse Birth Outcomes
The only pharmacologic treatment for gestational diabetes (GDM) approved...
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08/02/2022
Variance-based sensitivity analysis for weighting estimators result in more informative bounds
Weighting methods are popular tools for estimating causal effects; asses...
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07/11/2022
Covariate-adaptive randomization inference in matched designs
It is common to conduct causal inference in matched observational studie...
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05/02/2022
Robust inference for matching under rolling enrollment
Matching in observational studies faces complications when units enroll ...
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02/25/2021
Interpretable Sensitivity Analysis for Balancing Weights
Assessing sensitivity to unmeasured confounding is an important step in ...
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04/18/2019
