Statistical Methods for Contemporary Clinical Trials
Mingxin Jiang
(She/her)

Mingxin Jiang is a PhD student at Imperial Clinical Trials Unit (ICTU), School of Public Health, where she is dedicated to advancing multiple imputation methods for handling missing data in clinical trials. Her research focuses on innovative multiple imputation methods based on the treatment policy strategy within the estimand framework to ensure the robustness of trial results.
She completed her MSc in Epidemiology at Imperial College London in 2024. During her MSc project, supervised by Dr. Leila Janani and Dr. Suzie Cro, Mingxin applied the ACceptability Curve Estimation using Probability Above Threshold (ACCEPT) method within both frequentist and Bayesian frameworks to enhance the interpretability of clinical trial results.