Research output per year
Research output per year
Research activity per year
Dr. Yu-Han Chiu’s research focuses on developing and applying novel causal inference methods to inform decisions, with a substantive focus on pregnancy and cardiovascular health. The lab’s work addresses the limited transportability of inference in randomized trials as well as the complexities arising from compound treatment, time-varying confounding, competing events, missing data, and model misspecification when using observational data to draw causal inferences. These challenges motivate her methodological research in the following areas: (1) The target trial framework to study the health effects of dietary strategies (using large longitudinal cohorts) and treatment safety in pregnancy (using real-world data); (2) Methods for synthesizing evidence from multiple data sources (trials or observational studies) and extending inference to a new target population of interest.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review