Medicine

Conducted a simulation study to compare the variability of the average treatment effects with true variance using different bootstrapping methods in propensity-score matching.

Fitted a logistic growth curve to model the COVID-19 cases data and implemented clustering algorithms to investigate the association between growth modes and countries.

Contributed to constructing a dataset containing basic information of over 320,000 clinical trials worldwide, with a focus on trials in the U.S.

Built a predictive model based on Logistic Regression to facilitate cancer diagnosis and trained models with various algorithms.

Developed an online tool for calculating the fragility index of clinical trials for meta-analysis studies.