Biased Sampling Designs
Last updated on Fri, Jan 6, 2023
Assistant Professor of Biostatistics
My research lies at the intersection of causal inference and machine learning, developing flexible methodology for statistical inference tailored to modern experiments and observational studies in the biomedical and public health sciences.
Evaluating Treatment Efficacy in Clinical Trials with Two-phase Designs Using Stochastic-interventional Causal Effects
In clinical trials randomizing participants to active vs. control conditions and following units until the occurrence of a primary …
Mon, Dec 19, 2022 4:20 PM London, England, UK