4 papers
Proximal Learning for Trials With External Controls: A Case Study in HIV Prevention
Yilin Song, Yinxiang Wu, Raphael J. Landovitz +9
With the advent of effective pre-exposure prophylaxis agents, active-controlled HIV prevention trials have become a common study design. Nevertheless, estimating absolute efficacy…
Demystifying Prediction Powered Inference
Yilin Song, Dan M. Kluger, Harsh Parikh +1
Machine learning predictions are increasingly used to supplement incomplete or costly-to-measure outcomes in fields such as biomedical research, environmental science, and social s…
The Categorical Instrumental Variable Model: Characterization, Partial Identification, and Statistical Inference
Yilin Song, F. Richard Guo, K. C. Gary Chan +1
We study categorical instrumental variable (IV) models with instrument, treatment and outcome taking finitely many values. We derive a simple closed-form characterization of the se…
Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework
Yilin Song, James P. Hughes, Ting Ye
In randomized controlled trials, adjusting for baseline covariates is often applied to improve the precision of treatment effect estimation. However, missingness in covariates is c…