Yeji Kim

About

Yeji Kim is a Lecturer at Korea University in South Korea. Her research areas include regression analysis, causal-effect estimation using modern machine learning methods, and the application of Bayesian methods in observational studies. She has recently published articles addressing topics such as the risk of retinopathy in women with pregnancy-induced hypertension and the accuracy of Bayesian CRM-based methods for maximum tolerated dose estimation.